Bearing fault diagnosis method based on attention mechanism and multilayer fusion network-Reference-Cited by-同舟云学术

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Bearing fault diagnosis method based on attention mechanism and multilayer fusion network

Published:2021-12 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Li Xiaohu,Wan Shaoke,Liu Shijie,Zhang Yanfei,Hong Jun,Wang Dongfeng

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Basic Research Program of Shaanxi Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference41 articles.

1. Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review;Duan;Int J Adv Manuf Technol,2018

2. Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy;Li;Mech Syst Signal Process,2019

3. A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches;Gao;IEEE Trans Ind Electron,2015

4. Bearing fault diagnosis based on PCA and SVM;Shuang,2007

5. Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine;Zhang;Knowl-Based Syst,2015

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