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

By (author) Yaguo Lei, By (author) Naipeng Li, By (author) Xiang Li

| on special |

normal price: R 4 235.95

Price: R 3 812.95


| book description |

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 details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Verlag, Singapore
Published date | 20 Oct 2022
Language | English
Format | Hardback
Pages | 281
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8116-9130-0
Readership Age |
BISAC | technology / machinery


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 5 062.95
Price | R 4 556.95 | on special |



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