國立虎尾科技大學 |

Prognostics and health management for intelligent electromechanical systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Prognostics and health management for intelligent electromechanical systems/ by Hui Liu, Fang Cheng, Yanfei Li.
作者:	Liu, Hui.
其他作者:	Li, Yanfei.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xxi, 208 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Data Engineering. -
電子資源:	https://doi.org/10.1007/978-981-96-7218-9
ISBN:	9789819672189

Prognostics and health management for intelligent electromechanical systems
Liu, Hui.

Prognostics and health management for intelligent electromechanical systems[electronic resource] /by Hui Liu, Fang Cheng, Yanfei Li. - Singapore :Springer Nature Singapore :2025. - xxi, 208 p. :ill. (chiefly color), digital ;24 cm.

Introduction -- Feature extraction of bearing vibration signal -- Ensemble intelligent diagnosis for bearing faults -- Deep learning based prediction for bearing remaining useful life.-Optimization based prediction for IGBT remaining useful life.

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.

ISBN: 9789819672189

Standard No.: 10.1007/978-981-96-7218-9doiSubjects--Topical Terms:

1226308
Data Engineering.

LC Class. No.: TK153

Dewey Class. No.: 621.3

Prognostics and health management for intelligent electromechanical systems
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