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Michael G. (Hrsg.) Pecht

Prognostics and Health Management of Electronics

Fundamentals, Machine Learning, and the Internet of Things

Ebook (EPUB Format)

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 sys… Mehr

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Produktdetails


Weitere Autoren: Kang, Myeongsu (Hrsg.)
  • ISBN: 978-1-119-51535-7
  • EAN: 9781119515357
  • Produktnummer: 28544630
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2018
  • Seitenangabe: 800 S.
  • Plattform: EPUB
  • Masse: 35'124 KB

Über den Autor


MICHAEL G. PECHT, PHD, is Chair Professor in Mechanical Engineering and Professor in Applied Mathematics, Statistics and Scientific Computation at the University of Maryland, USA. He is the Founder and Director of the Center for Advanced Life Cycle Engineering (CALCE) at the University of Maryland, USA, which is funded by more than 150 leading electronics companies. Dr. Pecht is an IEEE, ASME, SAE, and IMAPS Fellow and serves as editor-in-chief of IEEE Access. He has written more than 30 books, 700 technical articles, and has 8 patents. MYEONGSU KANG, PHD, is currently a Research Associate at the Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, USA. His expertise is in data analytics, machine learning, system modeling, and statistics for prognostics and systems health management. He has authored/coauthored more than 60 publications in leading journals and conference proceedings.

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