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Yong Chen

Industrial Data Analytics for Diagnosis and Prognosis

A Random Effects Modelling Approach

Ebook (EPUB Format)

Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects modelIn Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book's two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in… Mehr

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Produktdetails


Weitere Autoren: Zhou, Shiyu
  • ISBN: 978-1-119-66630-1
  • EAN: 9781119666301
  • Produktnummer: 37410742
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 352 S.
  • Plattform: EPUB
  • Masse: 10'881 KB

Über den Autor


Shiyu Zhou, is a Vilas Distinguished Achievement Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. He received his doctorate in Mechanical Engineering from the University of Michigan in 2000.Yong Chen, is Professor in the Department of Industrial and Systems Engineering at the University of Iowa. He obtained his doctorate in Industrial and Operations Engineering from the University of Michigan in 2003.

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