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Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems
Engelsk Hardback
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Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems
Engelsk Hardback

887 kr
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Om denne bog

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era.

Features:

  • Addresses the critical challenges in the field of PHM at present
  • Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis
  • Provides abundant experimental validations and engineering cases of the presented methodologies

Product detaljer
Sprog:
Engelsk
Sider:
281
ISBN-13:
9789811691300
Indbinding:
Hardback
Udgave:
ISBN-10:
9811691304
Kategori:
Udg. Dato:
20 okt 2022
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
20 okt 2022
Forfatter(e):
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