Combined Remaining Life Prediction of Multiple Bearings Based on EEMD-BILSTM

Combined Remaining Life Prediction of Multiple Bearings Based on EEMD-BILSTM

To improve the accuracy of a symmetrical structural rolling bearing life prediction under noise interference, a multi-bearing life prediction method combining Ensemble Empirical Mode Decomposition (EEMD) and Bi-directional Long Short-Term Memory (BiLSTM) is proposed. First, EEMD is proposed to decom...

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Bibliographic Details
Main Authors:	Yujie Zhan, Song Sun, Xiangong Li, Fuqi Wang
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Series:	Symmetry
Subjects:	rolling bearing ensemble empirical mode decomposition bidirectional long-short term memory network life prediction
Online Access:	https://www.mdpi.com/2073-8994/14/2/251

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