Prognostics and Health Management of Electronics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Prognostics and Health Management of Electronics write by Michael G. Pecht. This book was released on 2018-10-01. Prognostics and Health Management of Electronics available in PDF, EPUB and Kindle. 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.
Prognostics and Health Management of Engineering Systems
Prognostics and Health Management of Engineering Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Prognostics and Health Management of Engineering Systems write by Nam-Ho Kim. This book was released on 2016-10-24. Prognostics and Health Management of Engineering Systems available in PDF, EPUB and Kindle. This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:• Prognostics tutorials using least-squares• Bayesian inference and parameter estimation• Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter• Data-driven prognostics algorithms including Gaussian process regression and neural network• Comparison of different prognostics algorithms divThe authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.
Prognostics and Health Management of Electronics by Utilizing Environmental and Usage Loads
Prognostics and Health Management of Electronics by Utilizing Environmental and Usage Loads - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Prognostics and Health Management of Electronics by Utilizing Environmental and Usage Loads write by . This book was released on 2006. Prognostics and Health Management of Electronics by Utilizing Environmental and Usage Loads available in PDF, EPUB and Kindle.
Handbook of Performability Engineering
Handbook of Performability Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Performability Engineering write by Krishna B. Misra. This book was released on 2008-08-24. Handbook of Performability Engineering available in PDF, EPUB and Kindle. Dependability and cost effectiveness are primarily seen as instruments for conducting international trade in the free market environment. These factors cannot be considered in isolation of each other. This handbook considers all aspects of performability engineering. The book provides a holistic view of the entire life cycle of activities of the product, along with the associated cost of environmental preservation at each stage, while maximizing the performance.
Prognostics and Health Management of Electronics
Prognostics and Health Management of Electronics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Prognostics and Health Management of Electronics write by Michael G. Pecht. This book was released on 2018-08-15. Prognostics and Health Management of Electronics available in PDF, EPUB and Kindle. 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.
