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Probabilistic Physics Of Failure Approach To Reliability: Modeling, Accelerated Testing, Prognosis And Reliability Assessment

Probabilistic Physics Of Failure Approach To Reliability: Modeling, Accelerated Testing, Prognosis And Reliability Assessment

Probabilistic Physics Of Failure Approach To Reliability: Modeling, Accelerated
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Probabilistic Physics Of Failure Approach To Reliability: Modeling, Accelerated Testing, Prognosis And Reliability Assessment Hardbound - 2017

by Modarres Mohammad Et.Al

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United States: Wiley, 2017. Hardbound. Brand New. Book Condition:- Brand New. Secured Packaging. Fast DeliveryBookseller Inventory # 9781119388630
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  • Title Probabilistic Physics Of Failure Approach To Reliability: Modeling, Accelerated Testing, Prognosis And Reliability Assessment
  • Author Modarres Mohammad Et.Al
  • Binding Hardback
  • Edition [ Edition: first
  • Condition New
  • Pages 288
  • Volumes 1
  • Language ENG
  • Publisher Wiley, United States
  • Publication date 2017
  • Features Bibliography, Index
  • Bookseller's Inventory # STM-9781119388630
  • ISBN 9781119388630 / 1119388635
  • Weight 1.55 lbs (0.70 kg)
  • Dimensions 10.1 x 7.1 x 0.8 in (25.65 x 18.03 x 2.03 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Reliability (Engineering), Failure analysis (Engineering)
  • Library of Congress Catalogue Number 2017015279
  • Dewey Decimal Code 620.004
  • Quantity available 1
  • Bookseller catalogues Academic & Professional

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From the publisher

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.

About the author

Mohammad Modarres is Director, Center for Risk and Reliability and the Nicole Y. Kim Eminent Professor of Engineering, University of Maryland; M.S. (1977) and PhD (1980) in Nuclear Engineering from MIT, and M.S. in Mechanical Engineering also from MIT (1977). He has more than 400 papers in archival journals and proceedings of conferences, including several books and textbooks in various areas of nuclear safety, risk and reliability engineering. He is a University of Maryland Distinguished Scholar-Teacher and a fellow of the American Nuclear Society.

Mehdi Amiri is an adjunct professor in the Department of Mechanical Engineering, George Mason University; M.S. (2006) in Mechanical Engineering from University of Tehran, Iran and PhD (2011) in Mechanical Engineering from Louisiana State University (LSU). His main research interests include materials, failure prediction through simulation-based modeling of the microstructural defects, with current emphases on additively manufactured materials, and nondestructive evaluation and testing.

Christopher Jackson is the Acting Director of the Centre of Reliability and Resilience Engineering at the B. John Garrick Institute for the Risk Sciences, University of California, Los Angeles. He graduated with a PhD (2011) and MS (2007) in Reliability Engineering from the University of Maryland, a Masters of Military Studies (2012) from the Australian National University, and a Bachelor of Engineering (Mechanical 2001) from the University of New South Wales. His current research thrusts revolve around Bayesian analysis, big data analysis and complex system modelling.

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