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Prognostics and Health Management of Electronics by Utilizing Environmental and Usage Loads

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Author :
Release : 2006
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Prognostics and Health Management of Electronics by Utilizing Environmental and Usage Loads by :

Download or read book Prognostics and Health Management of Electronics by Utilizing Environmental and Usage Loads written by . This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt:

Prognostics and Health Management of Electronics

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Author :
Release : 2008-09-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 839/5 ( reviews)

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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. This book was released on 2008-09-11. Available in PDF, EPUB and Kindle. Book excerpt: The first book on Prognostics and Health Management of Electronics Recently, the field of prognostics for electronic products has received increased attention due to the potential to provide early warning of system failures, forecast maintenance as needed, and reduce life cycle costs. In response to the subject's growing interest among industry, government, and academic professionals, this book provides a road map to the current challenges and opportunities for research and development in Prognostics and Health Management (PHM). The book begins with a review of PHM and the techniques being developed to enable a prognostics approach for electronic products and systems. building on this foundation, the book then presents the state of the art in sensor systems for in-situ health and usage monitoring. Next, it discusses the various models and algorithms that can be utilized in PHM. Finally, it concludes with a discussion of the opportunities in future research. Readers can use the information in this book to: Detect and isolate faults Reduce the occurrence of No Fault Found (NFF) Provide advanced warning of system failures Enable condition-based (predictive) maintenance Obtain knowledge of load history for future design, qualification, and root cause analysis Increase system availability through an extension of maintenance cycles and/or timely repair actions Subtract life cycle costs of equipment from reduction in inspection costs, down time, and inventory Prognostics and Health Management of Electronics is an indispensable reference for electrical engineers in manufacturing, systems maintenance, and management, as well as design engineers in all areas of electronics.

Prognostics and Health Management of Electronics

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Author :
Release : 2018-08-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 300/5 ( reviews)

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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. This book was released on 2018-08-15. 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.

Prognostics and Health Management

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Author :
Release : 2019-04-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 695/5 ( reviews)

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Book Synopsis Prognostics and Health Management by : Douglas Goodman

Download or read book Prognostics and Health Management written by Douglas Goodman. This book was released on 2019-04-01. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life. Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics. Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. This important resource: Integrates data collecting, mathematical modelling and reliability prediction in one volume Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes Presents information from a panel of experts on the topic Follows prognostics based on statistical modelling, reliability modelling and usage modelling methods Written for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life.

Prognostics and Health Management of Electronics

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Author :
Release : 2018-08-24
Genre : Electronic books
Kind : eBook
Book Rating : 326/5 ( reviews)

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

Download or read book Prognostics and Health Management of Electronics written by Michael Pecht. This book was released on 2018-08-24. 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.

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