An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion

被引：0
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作者：
Mao, Wentao [1 ,2 ]
Liu, Jing [1 ]
Chen, Jiaxian [1 ]
Liang, Xihui [3 ]
机构：
[1] School of Computer and Information Engineering, Henan Normal University, Xinxiang,453007, China
[2] Engineering Laboratory of Intelligence Business and Internet of Things, Henan, Xinxiang,453007, China
[3] Department of Mechanical Engineering, University of Manitoba, Winnipeg,MB,R3T 2N2, Canada
来源：
IEEE Transactions on Instrumentation and Measurement | 2022年 / 71卷
关键词：
Time series - Forecasting - Clustering algorithms - Brain;
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