Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

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Author :
Publisher : CRC Press
ISBN 13 : 1000835944
Total Pages : 290 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Filter-Based Fault Diagnosis and Remaining Useful Life Prediction by : Yong Zhang

Download or read book Filter-Based Fault Diagnosis and Remaining Useful Life Prediction written by Yong Zhang and published by CRC Press. This book was released on 2023-02-09 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

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Author :
Publisher : Butterworth-Heinemann
ISBN 13 : 0128115351
Total Pages : 376 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery by : Yaguo Lei

Download or read book Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery written by Yaguo Lei and published by Butterworth-Heinemann. This book was released on 2016-11-02 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 9819935377
Total Pages : 474 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems by : Weihua Li

Download or read book Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems written by Weihua Li and published by Springer Nature. This book was released on 2023-09-10 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.

Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis

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Author :
Publisher : Elsevier
ISBN 13 : 0323914233
Total Pages : 314 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis by : Ruqiang Yan

Download or read book Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis written by Ruqiang Yan and published by Elsevier. This book was released on 2023-11-10 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis introduces the theory and latest applications of transfer learning on rotary machine fault diagnosis and prognosis. Transfer learning-based rotary machine fault diagnosis is a relatively new subject, and this innovative book synthesizes recent advances from academia and industry to provide systematic guidance. Basic principles are described before key questions are answered, including the applicability of transfer learning to rotary machine fault diagnosis and prognosis, technical details of models, and an introduction to deep transfer learning. Case studies for every method are provided, helping readers apply the techniques described in their own work. Offers case studies for each transfer learning algorithm Optimizes the transfer learning models to solve specific engineering problems Describes the roles of transfer components, transfer fields, and transfer order in intelligent machine diagnosis and prognosis

ICPER 2020

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Publisher : Springer Nature
ISBN 13 : 9811919399
Total Pages : 997 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis ICPER 2020 by : Faiz Ahmad

Download or read book ICPER 2020 written by Faiz Ahmad and published by Springer Nature. This book was released on 2022-10-03 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains papers presented in the 7th International Conference on Production, Energy and Reliability (ICPER 2020) under the banner of World Engineering, Science & Technology Congress (ESTCON2020) held from 14th to 16th July 2020 at Borneo Convention Centre, Kuching, Malaysia. The conference contains papers presented by academics and industrial practitioners showcasing their latest advancements and findings in mechanical engineering areas with an emphasis on sustainability and the Industrial Revolution 4.0. The papers are categorized under the following tracks and topics of research: IoT, Reliability and Simulation Advanced Materials, Corrosion and Autonomous Production Efficient Energy Systems and Thermofluids Production, Manufacturing and Automotive

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

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Publisher : Springer Nature
ISBN 13 : 9811691312
Total Pages : 292 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by : Yaguo Lei

Download or read book Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems written by Yaguo Lei and published by Springer Nature. This book was released on 2022-10-19 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies

Advances in Reliability and Maintainability Methods and Engineering Applications

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Publisher : Springer Nature
ISBN 13 : 3031288599
Total Pages : 642 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advances in Reliability and Maintainability Methods and Engineering Applications by : Yu Liu

Download or read book Advances in Reliability and Maintainability Methods and Engineering Applications written by Yu Liu and published by Springer Nature. This book was released on 2023-07-04 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book brings together the latest developments in reliability and maintainability methods from leading research groups globally. Covering a diverse range of subject areas, from mechanical systems to cyber-physical systems, the book offers both theoretical advancements and practical applications in various industries. With a focus on reliability modelling, reliability analysis, reliability design, maintenance optimization, warranty policy, prognostics and health management, this book appeals to academic and industrial professionals in the field of reliability engineering and beyond. It features real-world case studies from turbofan engines bearings, industrial robots, wireless networks, aircraft actuation systems, and more. This book is ideal for engineers, scientists, and graduate students in reliability, maintainability, design optimization, prognostics and health management, and applied probability and statistics.

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

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Publisher : Academic Press
ISBN 13 : 0128224886
Total Pages : 421 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems by : Hamid Reza Karimi

Download or read book Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems written by Hamid Reza Karimi and published by Academic Press. This book was released on 2021-06-05 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets of envisaging, designing, implementing, and experimentally exploring emerging trends in fault diagnosis and failure prognosis in mechanical, electrical, hydraulic and biomedical systems. The book is devoted to the development of mathematical methodologies for fault diagnosis and isolation, fault tolerant control, and failure prognosis problems of engineering systems. Sections present new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems. Sections focus on the development of mathematical methodologies for diagnosis and prognosis of faults or failures, providing a unified platform for understanding and applicability of advanced diagnosis and prognosis methodologies for improving reliability purposes in both theory and practice, such as vehicles, manufacturing systems, circuits, flights, biomedical systems. This book will be a valuable resource for different groups of readers – mechanical engineers working on vehicle systems, electrical engineers working on rotary machinery systems, control engineers working on fault detection systems, mathematicians and physician working on complex dynamics, and many more. Presents recent advances of theory, technological aspects, and applications of advanced diagnosis and prognosis methodologies in engineering applications Provides a series of the latest results, including fault detection, isolation, fault tolerant control, failure prognosis of components, and more Gives numerical and simulation results in each chapter to reflect engineering practices

Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification

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Author :
Publisher : Springer Nature
ISBN 13 : 3031433661
Total Pages : 237 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification by : Birgit Milius

Download or read book Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification written by Birgit Milius and published by Springer Nature. This book was released on 2023-09-26 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification, RSSRail 2023, held in Berlin, Germany, during October 10–12, 2023. The 13 full papers presented in this book together with 3 keynotes were carefully reviewed and selected from 25 submissions. The papers are divided into the following topical sections: modeling for security; tooled approaches and dependability of highly automated transport systems; formal methods for safety assessment; and formal model and visual tooling.

Prognostics and Health Management of Electronics

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Publisher : John Wiley & Sons
ISBN 13 : 1119515300
Total Pages : 800 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Prognostics and Health Management of Electronics by : Michael G. Pecht

Download or read book Prognostics and Health Management of Electronics written by Michael G. Pecht and published by John Wiley & Sons. This book was released on 2018-08-15 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenance A road map to the current challenges and available opportunities for the research and development of Prognostics and Health Management (PHM), this important work covers all areas of electronics and explains how to: assess methods for damage estimation of components and systems due to field loading conditions assess the cost and benefits of prognostic implementations develop novel methods for in situ monitoring of products and systems in actual life-cycle conditions enable condition-based (predictive) maintenance increase system availability through an extension of maintenance cycles and/or timely repair actions; obtain knowledge of load history for future design, qualification, and root cause analysis reduce the occurrence of no fault found (NFF) subtract life-cycle costs of equipment from reduction in inspection costs, downtime, and inventory Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk assessment.

Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis

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Publisher : Springer Nature
ISBN 13 : 3030896471
Total Pages : 502 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis by : Adiel Teixeira de Almeida

Download or read book Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis written by Adiel Teixeira de Almeida and published by Springer Nature. This book was released on 2022-06-28 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a broad range of areas from decision making methods applied in the contexts of Risk, Reliability and Maintenance (RRM). Intended primarily as an update of the 2015 book Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis, this edited work provides an integration of applied probability and decision making. Within applied probability, it primarily includes decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance. In decision making, it includes multicriteria decision making/aiding (MCDM/A) methods and optimization models. Within MCDM, in addition to decision analysis, some of the topics related to mathematical programming areas are considered, such as multiobjective linear programming, multiobjective nonlinear programming, game theory and negotiations, and multiobjective optimization. Methods related to these topics have been applied to the context of RRM. In MCDA, several other methods are considered, such as outranking methods, rough sets and constructive approaches. The book addresses an innovative treatment of decision making in RRM, improving the integration of fundamental concepts from both areas of RRM and decision making. This is accomplished by presenting current research developments in decision making on RRM. Some pitfalls of decision models on practical applications on RRM are discussed and new approaches for overcoming those drawbacks are presented.

Fault Diagnosis of Dynamic Systems

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Publisher : Springer
ISBN 13 : 3030177289
Total Pages : 462 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Fault Diagnosis of Dynamic Systems by : Teresa Escobet

Download or read book Fault Diagnosis of Dynamic Systems written by Teresa Escobet and published by Springer. This book was released on 2019-06-22 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis of Dynamic Systems provides readers with a glimpse into the fundamental issues and techniques of fault diagnosis used by Automatic Control (FDI) and Artificial Intelligence (DX) research communities. The book reviews the standard techniques and approaches widely used in both communities. It also contains benchmark examples and case studies that demonstrate how the same problem can be solved using the presented approaches. The book also introduces advanced fault diagnosis approaches that are currently still being researched, including methods for non-linear, hybrid, discrete-event and software/business systems, as well as, an introduction to prognosis. Fault Diagnosis of Dynamic Systems is valuable source of information for researchers and engineers starting to work on fault diagnosis and willing to have a reference guide on the main concepts and standard approaches on fault diagnosis. Readers with experience on one of the two main communities will also find it useful to learn the fundamental concepts of the other community and the synergies between them. The book is also open to researchers or academics who are already familiar with the standard approaches, since they will find a collection of advanced approaches with more specific and advanced topics or with application to different domains. Finally, engineers and researchers looking for transferable fault diagnosis methods will also find useful insights in the book.

Advances in Fault Detection and Diagnosis Using Filtering Analysis

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Publisher : Springer Nature
ISBN 13 : 9811659591
Total Pages : 192 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advances in Fault Detection and Diagnosis Using Filtering Analysis by : Ziyun Wang

Download or read book Advances in Fault Detection and Diagnosis Using Filtering Analysis written by Ziyun Wang and published by Springer Nature. This book was released on 2021-10-25 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.

Optimization for Control, Observation and Safety

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Publisher : MDPI
ISBN 13 : 3039284401
Total Pages : 500 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Optimization for Control, Observation and Safety by : Guillermo Valencia-Palomo

Download or read book Optimization for Control, Observation and Safety written by Guillermo Valencia-Palomo and published by MDPI. This book was released on 2020-04-01 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most used tools in control theory to compute control laws, adjust parameters (tuning), estimate states, fit model parameters, find conditions in order to fulfill a given closed-loop property, among others. Optimization also plays an important role in the design of fault detection and isolation systems to prevent safety hazards and production losses that require the detection and identification of faults, as early as possible to minimize their impacts by implementing real-time fault detection and fault-tolerant systems. Recently, it has been proven that many optimization problems with convex objective functions and linear matrix inequality (LMI) constraints can be solved easily and efficiently using existing software, which increases the flexibility and applicability of the control algorithms. Therefore, real-world control systems need to comply with several conditions and constraints that have to be taken into account in the problem formulation, which represents a challenge in the application of the optimization algorithms. This book offers an overview of the state-of-the-art of the most advanced optimization techniques and their applications in control engineering.

Data Mining and Big Data

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Publisher : Springer Nature
ISBN 13 : 9811675023
Total Pages : 519 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data Mining and Big Data by : Ying Tan

Download or read book Data Mining and Big Data written by Ying Tan and published by Springer Nature. This book was released on 2021-10-29 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.

Signal and Information Processing, Networking and Computers

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Publisher : Springer Nature
ISBN 13 : 9811933871
Total Pages : 1534 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Signal and Information Processing, Networking and Computers by : Jiande Sun

Download or read book Signal and Information Processing, Networking and Computers written by Jiande Sun and published by Springer Nature. This book was released on 2022-07-01 with total page 1534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects selected papers from the 8th Conference on Signal and Information Processing, Networking and Computers held in Ji’nan, Shandong, China on September 13-17, 2021. It focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. Readers from both academia and industry of this field can contribute and find their interests from the book.

Solid State Lighting Reliability Part 2

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Author :
Publisher : Springer
ISBN 13 : 3319581759
Total Pages : 606 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Solid State Lighting Reliability Part 2 by : Willem Dirk van Driel

Download or read book Solid State Lighting Reliability Part 2 written by Willem Dirk van Driel and published by Springer. This book was released on 2017-07-11 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past four years we have witnessed rapid development in technology and significant market penetration in many applications for LED systems. New processes and new materials have been introduced; new standards and new testing methods have been developed; new driver, control and sensing technologies have been integrated; and new and unknown failure modes have also been presented. In this book, Solid State Lighting Reliability Part 2, we invited the experts from industry and academia to present the latest developments and findings in the LED system reliability arena. Topics in this book cover the early failures and critical steps in LED manufacturing; advances in reliability testing and standards; quality of colour and colour stability; degradation of optical materials and the associated chromaticity maintenance; characterization of thermal interfaces; LED solder joint testing and prediction; common failure modes in LED drivers; root causes for lumen depreciation; corrosion sensitivity of LED packages; reliability management for automotive LEDs, and lightning effects on LEDs. This book is a continuation of Solid State Lighting Reliability: Components to Systems (published in 2013), which covers reliability aspects ranging from the LED to the total luminaire or system of luminaires. Together, these two books are a full set of reference books for Solid State Lighting reliability from the performance of the (sub-) components to the total system, regardless its complexity.