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Advances In Degradation Modeling
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Book Synopsis Advances in Degradation Modeling by : M.S. Nikulin
Download or read book Advances in Degradation Modeling written by M.S. Nikulin and published by Springer Science & Business Media. This book was released on 2010-07-08 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics and finance. It is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance.
Book Synopsis Advances in Degradation Modeling by :
Download or read book Advances in Degradation Modeling written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Modeling for Degradation Data by : Ding-Geng (Din) Chen
Download or read book Statistical Modeling for Degradation Data written by Ding-Geng (Din) Chen and published by Springer. This book was released on 2017-08-31 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.
Book Synopsis Internet of Things-enabled Degradation Modeling, Inference, and Prognosis by : Changyue Song
Download or read book Internet of Things-enabled Degradation Modeling, Inference, and Prognosis written by Changyue Song and published by . This book was released on 2020 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Degradation is common in a variety of engineering systems, which can lead to system failures. Enabled by the Internet of Things technology, sensors have been widely used to monitor the degradation process of engineering systems. By analyzing the collected sensor signals, the failure time of an engineering system can be predicted, and appropriate maintenance can be scheduled to avoid unexpected failures. This brings an unprecedented opportunity for developing advanced methodologies that enable and assist (i) the efficient handling of the rich and diverse sensor measurements, (ii) the estimation and inference of the unobserved degradation status, and (iii) the exploitation of the acquired knowledge for more enhanced prognosis of the future dynamics and decision-making for predictive maintenance. This thesis focuses on Internet of Things-enabled degradation modeling, inference, and prognosis to develop data analytics methodologies by effectively combining advanced statistics, machine learning and engineering domain knowledge. The proposed methodologies enable (i) the proper and robust modeling of the degradation process and the inter-relations of the sensors, (ii) an accurate estimation of the unknown degradation status, (iii) an accurate prediction of the future behaviors and failure time, and (iv) the enactment of decisions for predictive maintenance. The first chapter introduces the background and elaborates the challenges in degradation modeling, inference, and prediction enabled by Internet of Things. The objective of this thesis is also highlighted. Chapter 2 focuses on health index methods for degradation modeling and prognostics with multiple sensor signals. While a health index is constructed by combining the multiple sensor signals to characterize the degradation process, existing health index methods are limited to linear fusion function. In this chapter, we propose a novel health index method that extends the linear fusion function to nonlinear functions by incorporating the kernel methods. Chapter 3 focuses on a more fundamental issue regarding the theoretical justification of the health index methods. Existing health index methods are heuristic, and the prognostic performance of the constructed health index cannot be guaranteed. To address this issue, we propose to use indirect supervised learning, where the failure time information is used as an indirect indicator of the underlying degradation status to guide the construction of the health index. In this way, the constructed health index is theoretically guaranteed to characterize the true degradation process. Chapter 4 further proposes a generic framework for multisensor degradation modeling, where a novel concept called failure surface is proposed to define system failure based on multiple sensor signals, and a new method is proposed to estimate the failure surface by transforming the degradation modeling problem into a classification problem. As a result, the proposed method is flexible to explore complicated relations of sensor signals, is capable of handling asynchronous signals, and can automatically screen out non-informative sensors. Chapter 5 proposes a systematic method for degradation modeling and prognosis that can be widely used in different scenarios. After extracting features for each sensor signal, local linear models are adopted to establish the relation between the extracted features and failure time. A goodness-of-fit measure is further proposed to assess the adequacy of the local linear model. If a unit is monitored by multiple sensors, decision-level fusion and feature-level fusion are further used to fuse the information from the sensors. Chapter 6 then summarizes the contributions of the thesis. In summary, this thesis contributes to the Internet of Things-enabled degradation modeling, inference, and prognosis by developing systematic data-driven analytics methodologies. The research possesses a great potential for applications in manufacturing, health care, and energy facilities, etc., where Internet of Things technology has been rapidly adopted.
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 Degradation Processes in Reliability by : Waltraud Kahle
Download or read book Degradation Processes in Reliability written by Waltraud Kahle and published by John Wiley & Sons. This book was released on 2016-06-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Degradation process" refers to many types of reliability models, which correspond to various kinds of stochastic processes used for deterioration modeling. This book focuses on the case of a univariate degradation model with a continuous set of possible outcomes. The envisioned univariate models have one single measurable quantity which is assumed to be observed over time. The first three chapters are each devoted to one degradation model. The last chapter illustrates the use of the previously described degradation models on some real data sets. For each of the degradation models, the authors provide probabilistic results and explore simulation tools for sample paths generation. Various estimation procedures are also developed.
Book Synopsis Thermodynamic Degradation Science by : Alec Feinberg
Download or read book Thermodynamic Degradation Science written by Alec Feinberg and published by John Wiley & Sons. This book was released on 2016-10-17 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thermodynamic degradation science is a new and exciting discipline. This book merges the science of physics of failure with thermodynamics and shows how degradation modeling is improved and enhanced when using thermodynamic principles. The author also goes beyond the traditional physics of failure methods and highlights the importance of having new tools such as “Mesoscopic” noise degradation measurements for prognostics of complex systems, and a conjugate work approach to solving physics of failure problems with accelerated testing applications. Key features: • Demonstrates how the thermodynamics energy approach uncovers key degradation models and their application to accelerated testing. • Demonstrates how thermodynamic degradation models accounts for cumulative stress environments, effect statistical reliability distributions, and are key for reliability test planning. • Provides coverage of the four types of Physics of Failure processes describing aging: Thermal Activation Processes, Forced Aging, Diffusion, and complex combinations of these. • Coverage of numerous key topics including: aging laws; Cumulative Accelerated Stress Test (CAST) Plans; cumulative entropy fatigue damage; reliability statistics and environmental degradation and pollution. Thermodynamic Degradation Science: Physics of Failure, Accelerated Testing, Fatigue and Reliability Applications is essential reading for reliability, cumulative fatigue, and physics of failure engineers as well as students on courses which include thermodynamic engineering and/or physics of failure coverage.
Book Synopsis Advances in Understanding Soil Degradation by : Elmira Saljnikov
Download or read book Advances in Understanding Soil Degradation written by Elmira Saljnikov and published by Springer Nature. This book was released on 2021-11-26 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book informs about knowledge gain in soil and land degradation to reduce or prevent it for meeting the mission of the Sustainable Developments Goals of the United Nations. Essence, extent, monitoring methods and implications for ecosystem functioning of main soil degradation types are characterized in overview chapters and case studies. Challenges, approaches and data towards identification of degradation in the frame of improving functionality, health and multiple ecosystem services of soil are demonstrated in the studies of international expert teams. The book consists of five parts, containing 5–12 single chapters each and 36 in total. Parts are explaining (I) Concepts and Indicators, (II) Soil Erosion and Compaction, (III) Soil Contamination, (IV) Soil Carbon and Fertility Monitoring and (V) Soil Survey and Mapping of Degradation The primary audience of this book are scientists of different disciplines, decision-makers, farmers and further informed people dealing with sustainable management of soil and land.
Book Synopsis Advances in Bifurcation and Degradation in Geomaterials by : Stéphane Bonelli
Download or read book Advances in Bifurcation and Degradation in Geomaterials written by Stéphane Bonelli and published by Springer Science & Business Media. This book was released on 2011-08-03 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents contributions to the 9th International Workshop on Bifurcation and Degradation in Geomaterials held in Porquerolles, France, May 23-26, 2011. This series of conferences, started in the early 1980s, is dedicated to the research on degradation and instability phenomena in geomaterials. The volume gathers a series of manuscripts by brilliant international scholars reflecting recent trends in theoretical and experimental research in geomechanics. It incorporates contributions on topics like instability analysis, localized and diffuse failure description, multi-scale modeling and applications to geo-environmental issues. This book will be valuable for anyone interested in the research on degradation and instabilities in geomechanics and geotechnical engineering, appealing to graduate students, researchers and engineers alike.
Book Synopsis Engineering Asset Management by : Dimitris Kiritsis
Download or read book Engineering Asset Management written by Dimitris Kiritsis and published by Springer Science & Business Media. This book was released on 2011-02-03 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering Asset Management discusses state-of-the-art trends and developments in the emerging field of engineering asset management as presented at the Fourth World Congress on Engineering Asset Management (WCEAM). It is an excellent reference for practitioners, researchers and students in the multidisciplinary field of asset management, covering such topics as asset condition monitoring and intelligent maintenance; asset data warehousing, data mining and fusion; asset performance and level-of-service models; design and life-cycle integrity of physical assets; deterioration and preservation models for assets; education and training in asset management; engineering standards in asset management; fault diagnosis and prognostics; financial analysis methods for physical assets; human dimensions in integrated asset management; information quality management; information systems and knowledge management; intelligent sensors and devices; maintenance strategies in asset management; optimisation decisions in asset management; risk management in asset management; strategic asset management; and sustainability in asset management.
Book Synopsis Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment by : Achim Roeder
Download or read book Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment written by Achim Roeder and published by CRC Press. This book was released on 2019-10-18 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land degradation and desertification are amongst the most severe threats to human welfare and the environment, as they affect the livelihoods of some 2 billion people in the world's drylands, and they are directly connected to pressing global environmental problems, such as the loss of biological diversity or global climate change. Strategies to combat these processes and mitigate their effects at the land-management and policy level require spatially explicit, up-to-date information, which can be provided based on remote sensing data and using geoinformation processing techniques. Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment introduces the current state of the art in this field and provides an overview of both conceptual and technological advances of the recent past. With a specific focus on desertification and land degradation, the volume covers the assessment of related biophysical indicators, as well as complementary qualitative information at different spatial and temporal scales. It is shown how remote sensing data may be utilized in the context of assessing and monitoring affected ecosystems and how this information may be assimilated into integrated interpretation and modelling concepts. In addition, different case studies are provided to demonstrate the implementation of these methods in the frame of different local settings. The volume will be of interest to scientists and students working at the interface of ecosystem services, land degradation/desertification, spatial ecology, remote sensing and spatial modelling, as well as to land managers and policy makers.
Book Synopsis Degradation Processes in Reliability by : Waltraud Kahle
Download or read book Degradation Processes in Reliability written by Waltraud Kahle and published by John Wiley & Sons. This book was released on 2016-06-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Degradation process" refers to many types of reliability models, which correspond to various kinds of stochastic processes used for deterioration modeling. This book focuses on the case of a univariate degradation model with a continuous set of possible outcomes. The envisioned univariate models have one single measurable quantity which is assumed to be observed over time. The first three chapters are each devoted to one degradation model. The last chapter illustrates the use of the previously described degradation models on some real data sets. For each of the degradation models, the authors provide probabilistic results and explore simulation tools for sample paths generation. Various estimation procedures are also developed.
Book Synopsis Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment by : Achim Roeder
Download or read book Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment written by Achim Roeder and published by CRC Press. This book was released on 2009-04-23 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land degradation and desertification are amongst the most severe threats to human welfare and the environment, as they affect the livelihoods of some 2 billion people in the worlds drylands, and they are directly connected to pressing global environmental problems, such as the loss of biological diversity or global climate change. Strategies to co
Book Synopsis Digital Document Processing by : Bidyut B. Chaudhuri
Download or read book Digital Document Processing written by Bidyut B. Chaudhuri and published by Springer Science & Business Media. This book was released on 2007-03-13 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.
Book Synopsis Bifurcation and Degradation of Geomaterials with Engineering Applications by : Euripides Papamichos
Download or read book Bifurcation and Degradation of Geomaterials with Engineering Applications written by Euripides Papamichos and published by Springer. This book was released on 2017-04-21 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the scientific contributions to the 11th International Workshop on Bifurcation and Degradation in Geomaterials (IWBDG) held in Limassol-Cyprus, May 21-25, 2017. The IWBDG series have grown in size and scope, since their inception 30 years ago in Germany, covering more and wider areas of geomaterials and geomechanics research including modern trends. The papers cover a wide range of topics including advances in instabilities, localized and diffuse failure, micromechanical, multiscale phenomena, multiphysics modeling and other related topics. This volume gathers a series of manuscript by brilliant international scholars who work on modern recent advances in experimental, theoretical and numerical methods. The theoretical and applied mechanics are linked successfully with engineering applications in traditional and in emerging fields, such as geomechanics for the energy and the environment. The quality of the contributed papers has benefited from the peer review process by expert referees. This book can be used as a useful reference for research students, academics and practicing engineers who are interested in the instability and degradation problems in geomaterials, geomechanics, geotechnical engineering and other related applications.
Book Synopsis Data-Driven Remaining Useful Life Prognosis Techniques by : Xiao-Sheng Si
Download or read book Data-Driven Remaining Useful Life Prognosis Techniques written by Xiao-Sheng Si and published by Springer. This book was released on 2017-01-20 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.
Book Synopsis Advances in Bifurcation and Degradation in Geomaterials by : Stéphane Bonelli
Download or read book Advances in Bifurcation and Degradation in Geomaterials written by Stéphane Bonelli and published by Springer. This book was released on 2013-11-27 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents contributions to the 9th International Workshop on Bifurcation and Degradation in Geomaterials held in Porquerolles, France, May 23-26, 2011. This series of conferences, started in the early 1980s, is dedicated to the research on degradation and instability phenomena in geomaterials. The volume gathers a series of manuscripts by brilliant international scholars reflecting recent trends in theoretical and experimental research in geomechanics. It incorporates contributions on topics like instability analysis, localized and diffuse failure description, multi-scale modeling and applications to geo-environmental issues. This book will be valuable for anyone interested in the research on degradation and instabilities in geomechanics and geotechnical engineering, appealing to graduate students, researchers and engineers alike.
