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Predicting Failures And Measuring Remaining Equipment Life On Highly Reliable Aerospace Equipment The Prognostic Analysis Completed On Boeing Gps An
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Book Synopsis Predicting Failures and Measuring Remaining Equipment Life on Highly Reliable Aerospace Equipment: The Prognostic Analysis' Completed on Boeing GPS an by : Len Losik Ph. D.
Download or read book Predicting Failures and Measuring Remaining Equipment Life on Highly Reliable Aerospace Equipment: The Prognostic Analysis' Completed on Boeing GPS an written by Len Losik Ph. D. and published by Independently Published. This book was released on 2017-01-04 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predicting Failures and Measuring Remaining Equipment Life for Highly Reliable Aerospace Equipment documents the author's work as the Boeing GPS Space and Ground Segment Manager, developing and using predictive algorithms to identify premature aging in normal appearing engineering measurement telemetry from electrical and electro-mechanical equipment on U.S. Air Force GPS satellites and documented in monthly and quarterly on-orbit test reports as CDRLs and the NASA/Fairchild/U.C. Berkeley Extreme Ultra-Violet Explorer satellite, a sister ship to the NASA Hubble space telescope. Now called prognostics and health management or PHM, predictive algorithms in PHM were developed by the author and used on the U.S. Air Force's GPS Block I space-based navigation program. PHM was first used by the author starting in 1979 to predict on-board GPS satellite atomic frequency standard failures for replacement on the initial GPS constellation of MEO satellites that were operating in a 12,000 mile altitude, inclined 63 degrees, circular Earth orbit for achieving the maximum navigation system performance during multi-military service system-wide testing that would justify funding by the DoD. The 12 Boeing Block 1 GPS satellite constellation was used to win program funding by the author from the Department of Defense resulting in two follow-on contracts for Boeing for 28 additional Block II GPS satellites and 12 Block IIA satellites with improvements based on the results from the author's routine prognostic analysis he completed to improve GPS satellite equipment and payload performance and reliability. With the Air Force's GPS program funded by the DoD, the two existing, Navy satellite-based navigation and timing programs called TIMATION and TRANSIT were retired.
Book Synopsis Predicting Failures & Measuring Remaining Equipment Life for Highly Reliable Aerospace Equipment by : Len Losik, Ph.d.
Download or read book Predicting Failures & Measuring Remaining Equipment Life for Highly Reliable Aerospace Equipment written by Len Losik, Ph.d. and published by Createspace Independent Publishing Platform. This book was released on 2017-01-04 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predicting Failures and Measuring Remaining Equipment Life for Highly Reliable Aerospace equipment documents the author's work as the Boeing GPS Space and Ground Segment Manager, developing and using predictive algorithms to identify premature aging in normal appearing engineering measurement telemetry from electrical and electro-mechanical equipment on U.S. Air Force GPS satellites and documented in monthly and quarterly on-orbit test reports as CDRLs and the NASA/Fairchild/U.C. Berkeley Extreme Ultra-Violet Explorer satellite, a sister ship to the NASA Hubble space telescope. Now called prognostics and health management or PHM, predictive algorithms in PHM were developed by the author and used on the U.S. Air Force's GPS Block I space-based navigation program. PHM was first used by the author starting in 1979 to predict on-board GPS satellite atomic frequency standard failures for replacement on the initial GPS constellation of MEO satellites that were operating in a 12,000 mile altitude, inclined 63 degrees, circular Earth orbit for achieving the maximum navigation system performance during multi-military service system-wide testing that would justify funding by the DoD. The 12 Boeing Block 1 GPS satellite constellation was used to win program funding by the author from the Department of Defense resulting in two follow-on contracts for Boeing for 28 additional Block II GPS satellites and 12 Block IIA satellites with improvements based on the results from the author's routine prognostic analysis he completed to improve GPS satellite equipment and payload performance and reliability. With the Air Force's GPS program funded by the DoD, the two existing, Navy satellite-based navigation and timing programs called TIMATION and TRANSIT were retired.
Book Synopsis An Introduction to Predicting Failures on Highly Reliable Aerospace Equipment by : Len Losik, Ph.d.
Download or read book An Introduction to Predicting Failures on Highly Reliable Aerospace Equipment written by Len Losik, Ph.d. and published by Createspace Independent Publishing Platform. This book was released on 2017-01-02 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Predicting Failures on Highly Reliable Aerospace Equipment documents the author's research and work as the Boeing GPS Space and Ground Segment Manager developing and using predictive algorithms that are today, part of the prognostics and health management (PHM) technology, the author used to identify premature aging in normal appearing GPS satellite subsystem electrical and mechanical equipment's analog and digital telemetry on the 12 U.S. Air Force/Boeing GPS Block I satellites that led to the funding of the GPS program by the DoD and awards of two contracts to Boeing for 40 more improved GPS satellites, with improvements based on the results from the author's routine prognostic analysis on, on-orbit GPS satellites as well as satellites at the factory, and the results of the author's prognostics analysis of the NASA/Fairchild/U.C. Berkeley, Space Science Laboratory's Extreme Ultra-Violet Explorer (EUVE) class, low earth orbiting space science satellite, one of many sister ships to the NASA Hubble Space Telescope. Now called prognostics and health management or PHM technology, the predictive algorithms developed and used by the author on the 12 Boeing GPS satellites as the Boeing GPS Space and Ground Segment Manager were a follow-on to the Naval Research Laboratory''s two failed navigation technology satellite (NTS) that were the proof of concept satellites for the Air Force's GPS program. PHM and the prognostic analysis was first used by the author to predict on-board Boeing's GPS Block I satellite's cesium and rubidium atomic frequency standard failures for replacement prior to and during critical, system-wide, multi-service test and evaluation program that used the initial 12 GPS Block I (a.k.a. Phase I) constellation of MEO satellites launched by the author into a 12,000 mile altitude, 63 degree inclination circular Earth orbit. The author completed the routine prognostic analysis on all Block I GPS satellites for achieving the maximum satellite and system performance by switching out the navigation payload units that were predicted to fail with certainty using the author's predictive algorithms. As the Boeing GPS Space and Ground Segment Manager, the author was responsible for Boeing's Block I GPS satellite design and redesign, launch, early orbit operations and final 3-axis stabilized on-orbit operations during the Phase I of 3 phases of the GPS program. The routine, prognostic analysis completed by the author were documented in monthly and quarterly orbital test reports as CDRL's submitted to the GPS Program Office located at AFSMC in Los Angeles, CA. The 12 Boeing Block 1 GPS satellite constellation was used by the author to win funding for the GPS program from the Pentagon based on the extremely high system performance as a result of completing routine prognostic analysis on each on-orbit GPS satellite. Using predictive algorithms, the author completed routine prognostic analysis on each on-orbit satellites. Boeing was awarded two follow-on contracts for 40 additional improved Boeing GPS Block II and IIA satellites with the improvements identified as a result of the routine prognostic analysis by the author, who discovered many improvements in equipment and subsystem functional configuration and equipment performance using predictive algorithms. With the GPS program funded by the DoD, the two existing and well-established Navy, satellite-based navigation and timing programs called TIMATION and TRANSIT were retired. The Introduction to Predicting Failures on Highly Reliable Aerospace Equipment documents the author's many years of work in developing and using PHM technology on both the Boeing GPS satellites and the NASA/Fairchild/U.C. Berkeley EUVE low earth orbiting space science satellite. The NASA EUVE used one of 10 Fairchild's multi mission satellite Bus' purchased by NASA hoping to lower the cost of an expected group of future space science missions.
Book Synopsis An Introduction to Predicting Failures on Highly Reliable Aerospace Equipment by : Len Losik Ph D
Download or read book An Introduction to Predicting Failures on Highly Reliable Aerospace Equipment written by Len Losik Ph D and published by . This book was released on 2016-06-14 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Briefly describes the author's initial experience developing and using predictive analytics to identify failure precursors in normal appearing engineering measurement data from electrical and electro-mechanical equipment on U.S. Air Force/Boeing GPS satellites and U.C. Berleley SSL/NASA's Extreme Ultra-Violet Explorer (EUVE) class satellite, a sister ship to the NASA Hubble space telescope. Now called prognostics and health management or PHM. The predictive algorithms were first developed by the author on the GPS program now considered PHM technology and were developed by the author and used on the initial 12 U.S. Air Force's GPS Block I space-based navigation program the followon to the navigation technology satellites (NTS)program funded by the Naval Research Laboratory (NRL) . PHM was first used by the author to predict on-board GPS Block I satellite atomic frequency standard failures for replacement during system-wide, multi-service system test and evaluation on the initial GPS Block I (Phase I) constellation of MEO satellites that were operating in a 12,000 mile, circular Earth orbit for achieving the maximum system performance during multi-military service system-wide testing. The initial Boeing Block 1 GPS satellite constellation was used to win program funding from the Dod/Pentagon fro the prognostic analysis the author concompetely routinely resulting in two follow-on contracts for 40 additional GPS Block II and IIA satellites. With the GPS program funded by the DoD, the two existing and well established Navy satellite-based navigation and timing programs called TIMATION and TRANSIT were retired.
Book Synopsis Predicting Failures & Measuring Remaining Equipment Life for Highly Reliable Aerospace Equipment by : Len Losik Ph D
Download or read book Predicting Failures & Measuring Remaining Equipment Life for Highly Reliable Aerospace Equipment written by Len Losik Ph D and published by . This book was released on 2016-06-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the author's initial experience developing and using predicting analytics to identify failure precursors in normal appearing engineering measurement data from electrical and electro-mechanical equipment on U.S. Air Force GPS satellites and NASA's Extreme Ultra-Violet Explorer satellite, a sister ship to the NASA Hubble space telescope. Now called prognostics and health management or PHM, predictive algorithms in PHM were developed by the author and used on the U.S. Air Force's GPS Block I space-based navigation program. PHM was first used by the author to predict on-board satellite atomic frequency standard failures for replacement on the initial GPS constellation of MEO satellites that were operating in a 12,000 mile Earth orbit for achieving the maximum system performance during multi-military service system-wide testing. The Block 1 GPS satellite constellation was used to win program funding from the department of defense resulting in two follow-on contracts for 40 additional GPS satellites. With the GPS program funded by the DoD, the two existing, Navy satellite-based navigation and timing programs called TIMATION and TRANSIT were retired.
Book Synopsis Using Telemetry Science and Prognostic Technology to Identify Premature Aging in Spacecraft Equipment by : Len Losik, Ph.d.
Download or read book Using Telemetry Science and Prognostic Technology to Identify Premature Aging in Spacecraft Equipment written by Len Losik, Ph.d. and published by Createspace Independent Publishing Platform. This book was released on 2016-11-25 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an introduction by the author that explains how to use PHM technology's prognostic analysis to create and process telemetry and use proprietary predictive algorithms as part of a PHM program and it includes an explanation why probability analysis should no longer be used to quantify spacecraft equipment and space vehicle reliability in probabilistic values, which is wrong, since equipment failures are not random, instantaneous nor memory-less as is required to use probability analysis, but in certainty The author includes an explanation of the prognostics and health management (PHM) technology and some of the complex tools and concepts he develop for a successful prognostics and health management (PHM) program that was used by the author to predict satellite subsystem and navigation payload equipment failures with 100% certainty, The author includes examples of the author's results from using a prognostic analysis on equipment telemetry from spacecraft such as GPS MEO satellites, NASA LEO satellites and commercial, geostationary satellites and on the United Technologies/air Force Titan, General Dynamics Atlas E/F and Aerospaciale's Ariane launch vehicles. The PHM predictive algorithms discussed are proprietary and not included, but their use and and functionality is well described. PHM technology requires a significant background in the following areas to understand the concepts of PHM including high level mathematical analysis, fixed power electrical circuit design and test , mechanical assembly design and test, orbital mechanics, probability reliability analysis, space systems engineering, aerospace engineering, predictive science, RF and digital communications science and analog and digital signal processing. This book can be used in conjunction with the author's several other books he authored about using PHM technology to other industries to stop the premature failures of equipment and products, reducing or eliminating product returns, lowering production costs while increasing product lines profit margins.
Book Synopsis Damage Prognosis by : Daniel J. Inman
Download or read book Damage Prognosis written by Daniel J. Inman and published by John Wiley & Sons. This book was released on 2005-12-13 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Damage prognosis is a natural extension of damage detection and structural health monitoring and is forming a growing part of many businesses. This comprehensive volume presents a series of fundamental topics that define the new area of damage prognosis. Bringing together essential information in each of the basic technologies necessary to perform damage prognosis, it also reflects the highly interdisciplinary nature of the industry through the extensive referencing of each of the component disciplines. Taken from lectures given at the Pan American Advanced Studies Institute in Damage Prognosis sponsored by the US National Science Foundation in cooperation with Los Alamos National Laboratories, this book will be essential reading for anyone looking to get to grips with the fundamentals of damage prognosis. Presents the 'ground rules' for Damage Prognosis. Deals with interdisciplinary topics: rotating machines, aerospace structures, automotive components and civil structures. Covers essential technical material: equations, graphs and plots, tables and photographs. Offers additional material from the associated workshop on an active web site.
Book Synopsis Degradation Modeling and Remaining Useful Life Estimation by : Amir Asif
Download or read book Degradation Modeling and Remaining Useful Life Estimation written by Amir Asif and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aging critical infrastructures and valuable machineries together with recent catastrophic incidents such as the collapse of Morandi bridge, or the Gulf of Mexico oil spill disaster, call for an urgent quest to design advanced and innovative prognostic solutions, and efficiently incorporate multi-sensor streaming data sources for industrial development. Prognostic health management (PHM) is among the most critical disciplines that employs the advancement of the great interdependency between signal processing and machine learning techniques to form a key enabling technology to cope with maintenance development tasks of complex industrial and safety-critical systems. Recent advancements in predictive analytics have empowered the PHM paradigm to move from the traditional condition-based monitoring solutions and preventive maintenance programs to predictive maintenance to provide an early warning of failure, in several domains ranging from manufacturing and industrial systems to transportation and aerospace. The focus of the PHM is centered on two core dimensions; the first is taking into account the behavior and the evolution over time of a fault once it occurs, while the second one aims at estimating/predicting the remaining useful life (RUL) during which a device can perform its intended function. The first dimension is the degradation that is usually determined by a degradation model derived from measurements of critical parameters of relevance to the system. Developing an accurate model for the degradation process is a primary objective in prognosis and health management. Extensive research has been conducted to develop new theories and methodologies for degradation modeling and to accurately capture the degradation dynamics of a system. However, a unified degradation framework has yet not been developed due to: (i) structural uncertainties in the state dynamics of the system and (ii) the complex nature of the degradation process that is often non-linear and difficult to model statistically. Thus even for a single system, there is no consensus on the best degradation model. In this regard, this thesis tries to bridge this gap by proposing a general model that able to model the true degradation path without having any prior knowledge of the true degradation model of the system. Modeling and analysis of degradation behavior lead us to RUL estimation, which is the second dimension of the PHM and the second part of the thesis. The RUL is the main pillar of preventive maintenance, which is the time a machine is expected to work before requiring repair or replacement. Effective and accurate RUL estimation can avoid catastrophic failures, maximize operational availability, and consequently reduce maintenance costs. The RUL estimation is, therefore, of paramount importance and has gained significant attention for its importance to improve systems health management in complex fields including automotive, nuclear, chemical, and aerospace industries to name but a few. A vast number of researches related to different approaches to the concept of remaining useful life have been proposed, and they can be divided into three broad categories: (i) Physics-based; (ii) Data-driven, and; (iii) Hybrid approaches (multiple-model). Each category has its own limitations and issues, such as, hardly adapt to different prognostic applications, in the first one, and accuracy degradation issues, in the second one, because of the deviation of the learned models from the real behavior of the system. In addition to hardly sustain good generalization. Our thesis belongs to the third category, as it is the most promising category, in particular, the new hybrid models, on basis of two different architectures of deep neural networks, which have great potentials to tackle complex prognostic issues associated with systems with complex and unknown degradation processes.
Book Synopsis Development of Equipment Failure Prognostic Model Based on Logical Analysis of Data (LAD) by : Sasan Esmaeili
Download or read book Development of Equipment Failure Prognostic Model Based on Logical Analysis of Data (LAD) written by Sasan Esmaeili and published by . This book was released on 2012 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fault Diagnosis and Prognosis System for Aircraft by : Zefeng Wang
Download or read book Fault Diagnosis and Prognosis System for Aircraft written by Zefeng Wang and published by . This book was released on 2013 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this thesis is to build an effective and practical intelligent system to diagnose and prognose aircraft faults. My research focuses on “The MOdeling, DIagnosis and PROgnosis (MODIPRO)” faults in complex systems. This work is a part of a project entitled FUI MODIPRO which is supported by Dassault Aviation. The objective of this project is to research and develop a software solution MODIPRO Version 0 and put it on the aviation market. This software solution can analyze a huge mass of data acquired from a flight and a fleet of aircraft, and the system can deduce rules for diagnosis and prognosis of faults. The system proposed in this thesis has been fully tested by using actual experimental data from a tri-engines system of aircrafts Z1, Z2 and Z3 (supplied by Dassault Aviation). The whole system would be built on a database containing about 67 hours of flight records involving 32 sensors. With the rapid development of modern aero technology and the market demand of high- performance, aircraft systems have become more and more. Thus, the classical diagnosis methods become less available. In the state of the art, unplanned maintenance takes place only at breakdowns, which is too late to observe the faults; the planned maintenance costs too much financial resources and manpower, which needs to set a periodic interval to perform preventive maintenance regardless of the health status of a physical asset. Although Build in Test (BIT) system is used widely, it also costs too much human and financial resource. In a general way the maintenance staffs need to connect the diagnostic box to the aircraft via interface after each flight mission. Because these classical methods often cause the false alarm, the planned maintenance is also indispensable today. In addition, classical diagnostic and prognostic system, such as Condition-Based Maintenance (CBM) and Prognostic Health Management (PHM), analyze the health state of aircrafts when they are on the ground - in the "offline" mode, they can't supervise the aircraft during the mission. In order to resolve these problems and guarantee a high ratio of attendance of aircraft, the system proposed in this thesis uses machine-learning methods to automatically detect, isolate, and even forecast aircraft faults while maintaining reliability and safety. The researches involve signals processing techniques, pattern recognition and classification. On the one hand, the diagnostic model allows the system to deduce the "real" cause of a fault by the observation and the treatment of acquired signals from flight records. On the other hand, the model can provide a progress of degradation of the health state and thus allows anticipating the faults or deferring the needless planned maintenance. The diagnosis system can locate and identify faults and the prognosis system can make the arbitration of a future maintenance plan on basis of the operating needs, the costs of rehabilitation, the risk of fault and the consequences. In addition to this, the system proposed in this thesis can be used not only in the off-line mode when aircraft maintenance occurs, but also in the on-line mode during the aircraft's mission. According to the different situations requirements, the missions of on-line system and off-line system are different. The on-line system is tasked with detecting faults and sending the alarms to the pilot and the Aircraft Ground Center (AGC) in time. The off-line system is obliged to locate the fault(s) and make a detail report to the maintenance center. Additionally, the system needs to analyze the flight data in the past time for the sake of forecasting the fault(s). In order to ensure the reliability of the system, different methods of machine learning are used in parallel as subsystems. These methods can compensate the disadvantages of each other. At first, the data are analyzed and pre-classified by Linear Analysis Discriminant (LDA), a classical and simple approach. On basis of the results, a novel approach of classification called SCM is proposed to improve the accuracy of diagnosis. SCM is different from SVM that requires the support vectors on the boundary of every class to distinguish the categories. SCM seeks the support vectors of true centers and sub-centers of each class during the machine learning. It can make the corresponding centers as the model of the class. The classification of data is simply done by the power distances of the centers. Furthermore, SCM can work for the prognosis analysis and perfectly deal with the nonlinear problem. The evolution of flight data is supervised by each fault model. On the basis of the evolution of the distances from the cloud of data to the centers, the system estimates the tendency of the evolution of data and forecast the probable faults in the future. Beyond a short-term prognosis of faults, the system can also be used to do a long-term evaluation of aircraft healthy state. This is more convincing and efficacious compared to regression methods and statistical methods, which lack the precision of a long-term regression and which require a longer time for data analysis. Although the diagnosis results of SCM and SVM are already satisfied with a correct detection rate that exceeds 95%, Artificial Neural Networks (ANN) are used to build another sub-system, so as to analyze the impact of using different types sensors on the different fault diagnosis and confirm the results from the models SVM and SCM. ANN is a quite different AI technic from SCM and SVM. It is a mathematical model that is inspired by the structure and functional aspects of biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. All the sensors are divided in to different groups corresponding to different types of the sensors. Different combinations of sensors are linked to the neural networks, thus we can study the importance of different types of aircraft sensors by the weights of networks and the diagnosis results of the faults. The methods, as SCM, SVM and ANN, need much time to accomplish machine learning, which cannot do the learning during the flight mission. But, in some cases, it may be necessary to rebuild the diagnosis system, for example if some sensors are broken or lost during the mission. For overcoming this, we added sub-systems based on decision trees (DT) and Gaussian mixture models (GMM), which are easier to interpret, quicker to learn than other data-driven methods, and able to work even with missing pieces of information. The C4.5 algorithm automatically "learns" the best decision tree by performing a search through the set of possible trees according to the available training data. Its needs less time to accomplish the machine learning, so it is also studied and improved in this thesis, and be used to build a subsystem for sake of restructuring the diagnosis system if some sensors or sensors information are lost, especially under the condition of war. GMM can also draw the plan of dysfunctional models and monitor the evolution of the health state of the aircraft in the prognosis system. Unlike expert systems or other conventional methods, the methods developed in this thesis can easily integrate new faults and new rules in the database: there isn't any conflict between the new and old rules. Beyond that, there is another important problem to consider and resolve: some sensors might be already failed before the machine learning. The measurements via sensors in the aircraft are used as the inputs of the system. The nature of the sensors will impact the accuracy and confidence of the diagnosis and prognosis results of the system. Thus, these data should be treated above of all. First, the system needs to check the healthy state of the sensors. If some sensors are broken down, the original system is not applicable. The system will start the emergency application, like fast relearning of the decision tree in order to build a new temporary fault diagnosis system. In addition to that, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are used in data mining. They can not only reduce the input data's dimension, but also make a visualization of data in 2D or 3D. It is very useful to observe the evaluation of flux data and to realize prognosis, and it is important for engineers to study the nature of faults. The system described here is not a black box. Although the system is built mainly for combat aircraft, it can be applied to all other types of aircraft, namely civil aircraft. On one hand, the system and its dysfunction models of aircraft faults can be designed to illuminate engineering consulting services responsible for monitoring the condition of aircrafts to ensure the safety of clients. On the other hand, this system can also accumulate the knowledge for re-engineering purposes (including diagnosis operational rules) and perfect the design of new aircrafts.
Book Synopsis Encyclopedia of Ethical Failure by : Department of Defense
Download or read book Encyclopedia of Ethical Failure written by Department of Defense and published by . This book was released on 2009-12-31 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Standards of Conduct Office of the Department of Defense General Counsel's Office has assembled an "encyclopedia" of cases of ethical failure for use as a training tool. These are real examples of Federal employees who have intentionally or unwittingly violated standards of conduct. Some cases are humorous, some sad, and all are real. Some will anger you as a Federal employee and some will anger you as an American taxpayer. Note the multiple jail and probation sentences, fines, employment terminations and other sanctions that were taken as a result of these ethical failures. Violations of many ethical standards involve criminal statutes. This updated (end of 2009) edition is organized by type of violations, including conflicts of interest, misuse of Government equipment, violations of post-employment restrictions, and travel.
Book Synopsis Engineering the Space Age - a Rocket Scientist Remembers by : Robert Brulle
Download or read book Engineering the Space Age - a Rocket Scientist Remembers written by Robert Brulle and published by Createspace Independent Publishing Platform. This book was released on 2012-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rarely is a reader exposed to such an extraordinary, multifaceted presentation of aerospace technology as Bob Brulle narrates in this book. After returning from duty as a combat fighter pilot in World War II, this Belgian immigrant developed a multitalented and innovative aerospace career path that addressed many of the aerospace professions. Along the way he forged a career in the aviation and space field that resulted in his participating in several of the most momentous aerospace achievements of the past century. He also expanded his education through hard work to a level at which he was qualified to teach graduate-level aerospace engineering courses. It is interesting to follow how the analysis and design techniques of aerospace vehicles progressed over the years, which incidentally reveals the large role that the computer played in making that possible. The story on the early Cape Canaveral operations was amusing and showed that enterprising innovations played a large role in a successful undertaking. Some of the projects described were a surprise, as I had never heard of them, like reading how a pencil-shaped missile was built that could fly and maneuver over an intercontinental distance at a high hypersonic velocity. He also described how American engineers and scientists fought the Cold War battle for technological supremacy on their desks and in their laboratories. The initiatives by which this enterprising engineer develops his technical approach to a project are very informative and offer the reader an insight into the workings of successful operations. He achieves an interesting behind-the-scenes look at how aerospace history is made by weaving in the historical significance of these projects as they are developed. As a former aeronautical engineer at the rapidly growing Mc- Donnell Aircraft Corporation, Bob gives us an interesting exposure to the importance of top management's relationship with the workforce in a successful company. "Mr. Mac" made it a point to make all his employees team members by frequent communication and friendly association.
Book Synopsis Materials and Processes by : Barrie D. Dunn
Download or read book Materials and Processes written by Barrie D. Dunn and published by Springer. This book was released on 2015-12-29 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is to assist scientists and engineers select the ideal material or manufacturing process for particular applications; these could cover a wide range of fields, from light-weight structures to electronic hardware. The book will help in problem solving as it also presents more than 100 case studies and failure investigations from the space sector that can, by analogy, be applied to other industries. Difficult-to-find material data is included for reference. The sciences of metallic (primarily) and organic materials presented throughout the book demonstrate how they can be applied as an integral part of spacecraft product assurance schemes, which involve quality, material and processes evaluations, and the selection of mechanical and component parts. In this successor edition, which has been revised and updated, engineering problems associated with critical spacecraft hardware and the space environment are highlighted by over 500 illustrations including micrographs and fractographs. Space hardware captured by astronauts and returned to Earth from long durations in space are examined. Information detailed in the Handbook is applicable to general terrestrial applications including consumer electronics as well as high reliability systems associated with aeronautics, medical equipment and ground transportation. This Handbook is also directed to those involved in maximizing the relia bility of new materials and processes for space technology and space engineering. It will be invaluable to engineers concerned with the construction of advanced structures or mechanical and electronic sub-systems.
Download or read book Logistics 4.0 written by Turan Paksoy and published by CRC Press. This book was released on 2020-12-17 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.
Book Synopsis Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace Vehicles by : Ali Zolghadri
Download or read book Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace Vehicles written by Ali Zolghadri and published by Springer Science & Business Media. This book was released on 2013-10-07 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace demonstrates the attractive potential of recent developments in control for resolving such issues as flight performance, self protection and extended-life structures. Importantly, the text deals with a number of practically significant considerations: tuning, complexity of design, real-time capability, evaluation of worst-case performance, robustness in harsh environments, and extensibility when development or adaptation is required. Coverage of such issues helps to draw the advanced concepts arising from academic research back towards the technological concerns of industry. Initial coverage of basic definitions and ideas and a literature review gives way to a treatment of electrical flight control system failures: oscillatory failure, runaway, and jamming. Advanced fault detection and diagnosis for linear and linear-parameter-varying systems are described. Lastly recovery strategies appropriate to remaining actuator/sensor/communications resources are developed. The authors exploit experience gained in research collaboration with academic and major industrial partners to validate advanced fault diagnosis and fault-tolerant control techniques with realistic benchmarks or real-world aeronautical and space systems. Consequently, the results presented in Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace, will be of interest in both academic and aerospatial-industrial milieux.
Book Synopsis Tang Soo Do Korean Empty Hand Self-Defense Book of Hyungs by : Len Losik
Download or read book Tang Soo Do Korean Empty Hand Self-Defense Book of Hyungs written by Len Losik and published by Sanlen Enterprises. This book was released on 2016-05-18 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tang Soo Do Korean Empty Hand Self-Defense Complete Book of Hyungs includes step-by-step written instructions and drawings for learning the 25 Tang Soo Do Hyungs including: Kee Cho Il Bu, Kee Cho E Bu, Kee Cho Sum Bu, Pyung Cho Dan, Pyung Ahn E Dan, Pyung Ahn Sum Dan, Pyung Sa Dan, Pyung Oh Dan, Nai Hanji Cho Dan, Nai Hanji E Dan, Nai Hanji Sum Dan, Bassai Cho, Bassai Dai, Jiin, Ship Sum (Sip Soo), Jion, Ginto, Jitti, Wang Shu, Kang Sang Koon So, Kang Sang Koon Dai, O Sip Sa Bo Dai, Tae Kuek Kwan So, Tae Keuk Kwon Dai and Sojin. Also included is a unique history of Tang Soo Do, the relationship between each Hyung and it's symbol (usually an animal), the importance to Tang Soo Do as taught by the early Korean Kwans and a definition of the Korean Kwan leaders. All the early minor and major Kwans and the Kwan creators and their styles taught at each Kwan is included. Almost 1000 new drawings have been added for the reader to better understand each step of each Hyung. Each drawing is numbered and matches with a numbered written instruction. Line drawings are included matching Hyung movements and directions of motion for each of step of the Hyung providing a high level perspective drawing of the area a practitioner moves through as he executes each Hyung. These diagrams allows the practitioner to see the Hyung in several perspectives to better understand what the creator had intended. It also includes is a matrix for correlating the Korean Hyungs to its Japanese and Okinawan Kata counterpart illustrating which ones are the same or similar. An East-West chronology included illustrates the development of Korean Martial Arts to events around the world and over centuries. The book is to be used only as a learning aid to supplement the formal instructions from a Black Belt Tang Soo Do Instructor. These aids are not intended to replace an Instructor nor to be used to learn the Hyungs before an Instructor decides a student is ready to do so
Download or read book Kong Soo Do written by Len Losik Ph D and published by Sanlen Publishing. This book was released on 2016-08-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Kong Soo Do The Way of the Empty Hand explains the origin of the only true style of Korean Karate, as taught by Master Gichin Funakoshi. Kong Soo Do was one of the most influential post-WW II Korean martial arts styles that would eventually become inifieed with the many other styles to become Korean Taekwondo. The author includes the path from Chuan Fa to Karate to Taekowndo and the path from training on dirt floors to an an Olympic sport with chapters on dojang etiquette and the detailed written instructions and drawings to learn all the Kata for promotion from white belt to Black Belt. Included are the instructions for the five Heien Kata, Nai Hanji Kata and Bassai Kata, also proper the dojang behavior and the Kong Soo Do belt ranking system. Other topics include the theories of Budo and Bushido and the 13 concepts. The author provides his extensive bibliography used to with Kong Soo Do, a complete Glossary and an extensive Index for the readers convenience.
