Bearing Remaining Useful Life Prediction Based on a Scaled Health Indicator and a LSTM Model with Attention Mechanism

Bearing Remaining Useful Life Prediction Based on a Scaled Health Indicator and a LSTM Model with Attention Mechanism

Rotor systems are of considerable importance in most modern industrial machinery, and the evaluation of the working conditions and longevity of their core component—the rolling bearing—has gained considerable research interest. In this study, a scale-normalized bearing health indicator based on the...

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Bibliographic Details
Main Authors:	Songhao Gao, Xin Xiong, Yanfei Zhou, Jiashuo Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	Machines
Subjects:	remaining useful life (RUL) rolling bearing health indicator phase space warping long and short-term memory (LSTM)
Online Access:	https://www.mdpi.com/2075-1702/9/10/238

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