Condition Monitoring and Control for Intelligent Manufacturing

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Publisher : Springer Science & Business Media
ISBN 13 : 1846282691
Total Pages : 411 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Condition Monitoring and Control for Intelligent Manufacturing by : Lihui Wang

Download or read book Condition Monitoring and Control for Intelligent Manufacturing written by Lihui Wang and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.

Condition Monitoring Using Computational Intelligence Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 1447123808
Total Pages : 247 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Condition Monitoring Using Computational Intelligence Methods by : Tshilidzi Marwala

Download or read book Condition Monitoring Using Computational Intelligence Methods written by Tshilidzi Marwala and published by Springer Science & Business Media. This book was released on 2012-01-25 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: • fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.

Expanding the Vision of Sensor Materials

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Publisher : National Academies Press
ISBN 13 : 0309587433
Total Pages : 146 pages
Book Rating : 4.3/5 (95 download)

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Book Synopsis Expanding the Vision of Sensor Materials by : Committee on New Sensor Technologies: Materials and Applications

Download or read book Expanding the Vision of Sensor Materials written by Committee on New Sensor Technologies: Materials and Applications and published by National Academies Press. This book was released on 1995-07-06 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in materials science and engineering have paved the way for the development of new and more capable sensors. Drawing upon case studies from manufacturing and structural monitoring and involving chemical and long wave-length infrared sensors, this book suggests an approach that frames the relevant technical issues in such a way as to expedite the consideration of new and novel sensor materials. It enables a multidisciplinary approach for identifying opportunities and making realistic assessments of technical risk and could be used to guide relevant research and development in sensor technologies.

Precision Manufacturing

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Publisher : Springer Science & Business Media
ISBN 13 : 0387682082
Total Pages : 785 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Precision Manufacturing by : David A. Dornfeld

Download or read book Precision Manufacturing written by David A. Dornfeld and published by Springer Science & Business Media. This book was released on 2007-11-22 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Manufacturing provides an introduction to precision engineering for manufacturing. With an emphasis on design and performance of precision machinery for manufacturing – machine tool elements and structure, sources of error, precision machining processes and process models sensors for process monitoring and control, metrology, actuators, and machine design. This book will be of interest to design engineers, quality engineers and manufacturing engineers, academics and those who may or may not have previous experience with precision manufacturing, but want to learn more.

New Trends in the Use of Artificial Intelligence for the Industry 4.0

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Publisher : BoD – Books on Demand
ISBN 13 : 1838801413
Total Pages : 214 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis New Trends in the Use of Artificial Intelligence for the Industry 4.0 by : Luis Romeral Martinez

Download or read book New Trends in the Use of Artificial Intelligence for the Industry 4.0 written by Luis Romeral Martinez and published by BoD – Books on Demand. This book was released on 2020-03-25 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. Industry 4.0 reflects that the industrial world is at the beginning of the so-called Fourth Industrial Revolution, characterized by a massive interconnection of assets and the integration of human operators with the manufacturing environment. In this regard, data analytics and, specifically, the artificial intelligence is the vehicular technology towards the next generation of smart factories.Chapters in this book cover a diversity of current and new developments in the use of artificial intelligence on the industrial sector seen from the fourth industrial revolution point of view, namely, cyber-physical applications, artificial intelligence technologies and tools, Industrial Internet of Things and data analytics. This book contains high-quality chapters containing original research results and literature review of exceptional merit. Thus, it is in the aim of the book to contribute to the literature of the topic in this regard and let the readers know current and new trends in the use of artificial intelligence for the Industry 4.0.

Profitable Condition Monitoring

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Publisher : Springer Science & Business Media
ISBN 13 : 9401116164
Total Pages : 331 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Profitable Condition Monitoring by : BKN Rao

Download or read book Profitable Condition Monitoring written by BKN Rao and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: To engineer and manufacture is human. Manufactured goods are subjected to severe international competitive forces. Consumers' perceptions towards total quality, reliable performance, health and safety, environmental issues, energy conservation and cost of ownership are changing day by day. Manufacturers have no alternative but to satisfy the consumer's increasing demands with maximum efficiency and profitability with minimum delay. Failure to meet such a challenge is clearly undesirable and will, no doubt, result in the closure of manufacturing activities, which is still regarded by many as the backbone of our national economy. Manufacturing for profitability should be the number one concern of all serious minded and responsible people. To help the industries to meet these challenges and to manage efficiently well into 1990s and beyond, the Technical Advisory Committee in their wisdom decided the appropriate theme, Profitable Condition Monitoring, for this year's International Conference, to coincide with the great European market to be opened in 1993. The benefits from condition monitoring are well documented. Condition monitoring is now an affordable technology which is waiting to be fully exploited by all sectors of industry, both big and small. Many companies have realised the following benefits from condition monitoring: • optimisation of profits • maximisation of production • cost-effective maintenance • minimisation of product liability • maximisation of total quality. As the contents of this proceedings reveal, there have been a number of significant advances in condition monitoring of which companies ought to be taking full advantage.

Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot

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Publisher : Springer
ISBN 13 : 331944932X
Total Pages : 302 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot by : Alaa Abdulhady Jaber

Download or read book Design of an Intelligent Embedded System for Condition Monitoring of an Industrial Robot written by Alaa Abdulhady Jaber and published by Springer. This book was released on 2016-09-08 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.

Design and Implementation of Intelligent Manufacturing Systems

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Publisher : Pearson Education
ISBN 13 : 0132442078
Total Pages : 451 pages
Book Rating : 4.1/5 (324 download)

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Book Synopsis Design and Implementation of Intelligent Manufacturing Systems by : Mohammed Jamshidi

Download or read book Design and Implementation of Intelligent Manufacturing Systems written by Mohammed Jamshidi and published by Pearson Education. This book was released on 1995-05-24 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.

Intelligent Maintenance and Monitoring Strategy for Smart Manufacturing Systems

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Intelligent Maintenance and Monitoring Strategy for Smart Manufacturing Systems by : Honghan Ye

Download or read book Intelligent Maintenance and Monitoring Strategy for Smart Manufacturing Systems written by Honghan Ye and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In smart manufacturing systems, production scheduling, maintenance decision-making, and process monitoring are three key, closely interconnected components, which play significant roles in the system performance, quality control, and overall cost. Due to the rapid advancement of in-process measurements and sensor technology, massive data frequently appear in modern industries. While such a data-rich environment has the potential to better reveal real-time details of the underlying system and make better decisions for the system improvement, it also presents significant challenges in the following perspectives: (i) how to effectively leverage the acquired knowledge to balance trade-offs between conflicting objectives, (ii) how to optimally design the monitoring system given the practical resources constraint, and (iii) how to efficiently handle the high-dimensional heterogeneous information with different acquisition rates, distributions, and characteristics. This thesis concentrates on production and maintenance scheduling, and process monitoring to develop systematic analytics methodologies for quality control, cost reduction, and performance improvement in smart manufacturing systems. By incorporating engineering domain knowledge with advanced statistical techniques, the proposed methodologies facilitate (i) the real-time decisions that improve the system production and maintenance scheduling, (ii) the effective monitoring of system status, (iii) the informative and intelligent decisions on balancing between exploration and exploitation given the limited monitoring resources, and (iv) the asynchronous process monitoring with different data acquisition rates. The first chapter introduces the background and challenges in production and maintenance scheduling, and monitoring in smart manufacturing systems, and establishes the major research objective of the thesis. Chapter 2 addresses a joint scheduling problem that considers corrective maintenance (CM) due to unexpected breakdowns and scheduled preventive maintenance (PM) in a generic M-machine flow shop. The objective is to find the optimal job sequence and PM schedule such that the total of tardiness cost, PM cost, and CM cost is minimized. To address this critical research issue, our novel idea is to dynamically update the PM interval based on real-time machine age, such that maintenance activity coordinates with job scheduling to the maximum extent, which results in an overall cost saving. With the rapid development of sensor technology, real-time observations from the sensors can be used to describe the machine status more accurately and achieve early anomaly detection. In Chapter 3, we propose a nonparametric monitoring and sampling algorithm integrated with Thompson sampling to quickly detect abnormalities occurring in heterogeneous data streams. In particular, a Bayesian approach is incorporated with an antirank-based cumulative sum (CUSUM) procedure to collectively estimate the underlying status of all data streams based on the partially observed data. Furthermore, an intelligent sampling strategy based on Thompson sampling (TS) algorithm is proposed to dynamically observe the informative data streams and balance between exploration and exploitation to facilitate quick anomaly detection. While the proposed method in Chapter 3 shows good performance in monitoring heterogeneous data streams, it heavily relies on the assumption that full historical in-control observations of all data streams are available offline, which does not always hold in practice. To address this issue, Chapter 4 further proposes a generic online nonparametric monitoring and sampling scheme occurring in high-dimensional heterogeneous processes when only partial observations are available. Specifically, we integrate the TS algorithm with a quantile-based nonparametric CUSUM procedure to construct local statistics of all data streams based on the partially observed data. Further, we develop a global monitoring scheme by using the sum of top-r local statistics to screen out the most suspicious data streams. Chapter 5 proposes a generic top - r based asynchronous monitoring (TRAM) framework to online monitor high-dimensional heterogeneous and asynchronous processes, where measurements of each data stream follow arbitrary distributions and are collected at different sampling intervals. In particular, we first adopt a quantile-based nonparametric CUSUM scheme to monitor each data stream locally. Then, an effective compensation strategy is proposed for unsampled data streams at the local statistics level to alleviate severe detection delay when mean shifts occur to long-sampling-interval data streams. Furthermore, we develop a global monitoring scheme using the sum of top - r local statistics, which is able to quickly detect a wide range of possible mean shifts in all directions. Chapter 6 then summarizes the contribution of the thesis. In summary, this thesis contributes to developing systematic analytics methodologies for quality control, cost reduction, and performance improvement in smart manufacturing systems. The developed methods are generic and can also be applied to other applications such as healthcare, energy and climate research, which will lead to improved maintenance scheduling, efficient resource allocation, and significant overall cost savings.

Data Driven Smart Manufacturing Technologies and Applications

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Publisher : Springer Nature
ISBN 13 : 3030668495
Total Pages : 218 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Driven Smart Manufacturing Technologies and Applications by : Weidong Li

Download or read book Data Driven Smart Manufacturing Technologies and Applications written by Weidong Li and published by Springer Nature. This book was released on 2021-02-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

Advances in Condition Monitoring of Machinery in Non-Stationary Operations

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Publisher : Springer
ISBN 13 : 3319619276
Total Pages : 366 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Condition Monitoring of Machinery in Non-Stationary Operations by : Anna Timofiejczuk

Download or read book Advances in Condition Monitoring of Machinery in Non-Stationary Operations written by Anna Timofiejczuk and published by Springer. This book was released on 2017-09-20 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.

Handbook of Computational Intelligence in Manufacturing and Production Management

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Publisher : IGI Global
ISBN 13 : 1599045842
Total Pages : 516 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Handbook of Computational Intelligence in Manufacturing and Production Management by : Laha, Dipak

Download or read book Handbook of Computational Intelligence in Manufacturing and Production Management written by Laha, Dipak and published by IGI Global. This book was released on 2007-11-30 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.

Quality Control

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Publisher : BoD – Books on Demand
ISBN 13 : 1839624973
Total Pages : 244 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Quality Control by : Pengzhong Li

Download or read book Quality Control written by Pengzhong Li and published by BoD – Books on Demand. This book was released on 2021-03-24 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality control is changing along with the manufacturing environment. A series of revolutionary changes will occur in management contents, methods, capabilities, and real-time effectiveness and efficiency of management. As an essential factor in intelligent manufacturing, quality control systems require real and comprehensive innovation. Focused on new trends and developments in quality control from a worldwide perspective, this book presents the latest information on novel approaches in quality control. Its thirteen chapters cover three topics: intelligent manufacturing, robust design, and control charts.

Unit Manufacturing Processes

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Publisher : National Academies Press
ISBN 13 : 0309176670
Total Pages : 228 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Unit Manufacturing Processes by : National Research Council

Download or read book Unit Manufacturing Processes written by National Research Council and published by National Academies Press. This book was released on 1995-01-03 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing, reduced to its simplest form, involves the sequencing of product forms through a number of different processes. Each individual step, known as an unit manufacturing process, can be viewed as the fundamental building block of a nation's manufacturing capability. A committee of the National Research Council has prepared a report to help define national priorities for research in unit processes. It contains an organizing framework for unit process families, criteria for determining the criticality of a process or manufacturing technology, examples of research opportunities, and a prioritized list of enabling technologies that can lead to the manufacture of products of superior quality at competitive costs. The study was performed under the sponsorship of the National Science Foundation and the Defense Department's Manufacturing Technology Program.

Machinery Condition Monitoring

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Publisher : CRC Press
ISBN 13 : 1466593059
Total Pages : 282 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Machinery Condition Monitoring by : Amiya Ranjan Mohanty

Download or read book Machinery Condition Monitoring written by Amiya Ranjan Mohanty and published by CRC Press. This book was released on 2014-12-22 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find the Fault in the Machines Drawing on the author’s more than two decades of experience with machinery condition monitoring and consulting for industries in India and abroad, Machinery Condition Monitoring: Principles and Practices introduces the practicing engineer to the techniques used to effectively detect and diagnose faults in machines. Providing the working principle behind the instruments, the important elements of machines as well as the technique to understand their conditions, this text presents every available method of machine fault detection occurring in machines in general, and rotating machines in particular. A Single-Source Solution for Practice Machinery Conditioning Monitoring Since vibration is one of the most widely used fault detection techniques, the book offers an assessment of vibration analysis and rotor-dynamics. It also covers the techniques of wear and debris analysis, and motor current signature analysis to detect faults in rotating mechanical systems as well as thermography, the nondestructive test NDT techniques (ultrasonics and radiography), and additional methods. The author includes relevant case studies from his own experience spanning over the past 20 years, and detailing practical fault diagnosis exercises involving various industries ranging from steel and cement plants to gas turbine driven frigates. While mathematics is kept to a minimum, he also provides worked examples and MATLAB® codes. This book contains 15 chapters and provides topical information that includes: A brief overview of the maintenance techniques Fundamentals of machinery vibration and rotor dynamics Basics of signal processing and instrumentation, which are essential for monitoring the health of machines Requirements of vibration monitoring and noise monitoring Electrical machinery faults Thermography for condition monitoring Techniques of wear debris analysis and some of the nondestructive test (NDT) techniques for condition monitoring like ultrasonics and radiography Machine tool condition monitoring Engineering failure analysis Several case studies, mostly on failure analysis, from the author’s consulting experience Machinery Condition Monitoring: Principles and Practices presents the latest techniques in fault diagnosis and prognosis, provides many real-life practical examples, and empowers you to diagnose the faults in machines all on your own.

Integrated Reliability

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Publisher : CRC Press
ISBN 13 : 1482249421
Total Pages : 527 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Integrated Reliability by : John Osarenren

Download or read book Integrated Reliability written by John Osarenren and published by CRC Press. This book was released on 2015-02-12 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consider a Viable and Cost-Effective Platform for the Industries of the Future (IOF)Benefit from improved safety, performance, and product deliveries to your customers. Achieve a higher rate of equipment availability, performance, product quality, and reliability. Integrated Reliability: Condition Monitoring and Maintenance of Equipment incorporate

Information Control Problems in Manufacturing 2006

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Publisher : Elsevier
ISBN 13 : 0080478484
Total Pages : 839 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Information Control Problems in Manufacturing 2006 by : Alexandre Dolgui

Download or read book Information Control Problems in Manufacturing 2006 written by Alexandre Dolgui and published by Elsevier. This book was released on 2011-10-10 with total page 839 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Control Problems in Manufacturing 2006 contains the Proceedings of the 12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM'2006). This symposium took place in Saint Etienne, France, on May 17-19 2006. INCOM is a tri-annual event of symposia series organized by IFAC and it is promoted by the IFAC Technical Committee on Manufacturing Plant Control. The purpose of the symposium INCOM'2006 was to offer a forum to present the state-of-the-art in international research and development work, with special emphasis on the applications of optimisation methods, automation and IT technologies in the control of manufacturing plants and the entire supply chain within the enterprise. The symposium stressed the scientific challenges and issues, covering the whole product and processes life cycle, from the design through the manufacturing and maintenance, to the distribution and service. INCOM'2006 Technical Program also included a special event on Innovative Engineering Techniques in Healthcare Delivery. The application of engineering and IT methods in medicine is a rapidly growing field with many opportunities for innovation. The Proceedings are composed of 3 volumes: Volume 1 - Information Systems, Control & Interoperability Volume 2 - Industrial Engineering Volume 3 - Operational Research * 3-volume set, containing 362 carefully reviewed and selected papers * presenting the state-of-the-art in international research and development in Information Control problems in Manufacturing