9781119388630-1119388635-Probabilistic Physics of Failure Approach to Reliability: Modeling, Accelerated Testing, Prognosis and Reliability Assessment (Performability Engineering Series)

Probabilistic Physics of Failure Approach to Reliability: Modeling, Accelerated Testing, Prognosis and Reliability Assessment (Performability Engineering Series)

ISBN-13: 9781119388630
ISBN-10: 1119388635
Edition: 1
Author: Mohammad Modarres, Mehdi Amiri, Christopher Jackson
Publication date: 2017
Publisher: Wiley-Scrivener
Format: Hardcover 288 pages
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Book details

ISBN-13: 9781119388630
ISBN-10: 1119388635
Edition: 1
Author: Mohammad Modarres, Mehdi Amiri, Christopher Jackson
Publication date: 2017
Publisher: Wiley-Scrivener
Format: Hardcover 288 pages

Summary

Probabilistic Physics of Failure Approach to Reliability: Modeling, Accelerated Testing, Prognosis and Reliability Assessment (Performability Engineering Series) (ISBN-13: 9781119388630 and ISBN-10: 1119388635), written by authors Mohammad Modarres, Mehdi Amiri, Christopher Jackson, was published by Wiley-Scrivener in 2017. With an overall rating of 4.5 stars, it's a notable title among other Electrical & Electronics (Engineering) books. You can easily purchase or rent Probabilistic Physics of Failure Approach to Reliability: Modeling, Accelerated Testing, Prognosis and Reliability Assessment (Performability Engineering Series) (Hardcover) from BooksRun, along with many other new and used Electrical & Electronics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $4.03.

Description

The book presents highly technical approaches to the probabilistic physics of failure analysis and applications to accelerated life and degradation testing to reliability prediction and assessment. Beside reviewing a select set of important failure mechanisms, the book covers basic and advanced methods of performing accelerated life test and accelerated degradation tests and analyzing the test data. The book includes a large number of very useful examples to help readers understand complicated methods described. Finally, MATLAB, R and OpenBUGS computer scripts are provided and discussed to support complex computational probabilistic analyses introduced.

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