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

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

by Yaguo LeiNaipeng Li and Xiang Li
Hardback
Publication Date: 20/10/2022

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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
ISBN:
9789811691300
9789811691300
Category:
Mechanical engineering
Format:
Hardback
Publication Date:
20-10-2022
Language:
English
Publisher:
Springer Verlag, Singapore
Country of origin:
Singapore
Edition:
2nd Edition
Pages:
281
Dimensions (mm):
235x155mm
Weight:
0.61kg

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