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Prognostics and Health Management for Intelligent Electromechanical Systems

By (author) Hui Liu, By (author) Fang Cheng, By (author) Yanfei Li





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| book description |

This book gives a detailed introduction to the technical background, feature extraction methods, PHM models and big data embedding methods of the big data theory in PHM for intelligent electromechanical systems. Combination with deep learning and big data, this book explains the hybrid algorithm framework of PHM such as ensemble intelligence and optimized intelligence and introduces PHM models for bearing, IGBT, MOSFET and other components and their big data embedding platform. This book improves the PHM method and theory of electromechanical system under industrial big data and provides reference for the development of intelligent electromechanical equipment and intelligent industrial production in the future.  

| product details |



Normally shipped | Enquiries only
Publisher | Springer Nature Switzerland AG
Published date | 3 Jul 2025
Language |
Format | Hardback
Pages | 208
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8196-7217-2
Readership Age |
BISAC | technology / electronics / general

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