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

被引：0

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;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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