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

Af: Xiang Li, Yaguo Lei, Naipeng Li Engelsk Hardback

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

Af: Xiang Li, Yaguo Lei, Naipeng Li Engelsk Hardback
Tjek vores konkurrenters priser

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

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Tjek vores konkurrenters priser
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Fragt: 39 kr
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Tjek vores konkurrenters priser

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

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 281
ISBN-13: 9789811691300
Indbinding: Hardback
Udgave:
ISBN-10: 9811691304
Kategori: Maskinteknik
Udg. Dato: 20 okt 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 20 okt 2022
Forfatter(e): Xiang Li, Yaguo Lei, Naipeng Li
Forfatter(e) Xiang Li, Yaguo Lei, Naipeng Li

Kategori Maskinteknik

ISBN-13 9789811691300

Sprog Engelsk

Indbinding Hardback

Sider 281

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 20 okt 2022

Oplagsdato 20 okt 2022

Forlag Springer Verlag, Singapore

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