Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing-Reference-Cited by-同舟云学术

Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing

Published:2023-01 Issue: Volume:55 Page:101844
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Zhao Dongfang,Liu Shulin,Du Hongyi,Wang Lu,Miao Zhonghua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference41 articles.

1. A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis;Wu;Adv. Eng. Inf.,2022

2. Deep Rational Attention Network with Threshold Strategy Embedded for Mechanical Fault Diagnosis;Zhao;IEEE Trans. Instrum. Meas.,2021

3. Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis;Pan;Adv. Eng. Inf.,2022

4. Subdomain Adaptation Capsule Network for Unsupervised Mechanical Fault Diagnosis;Zhao;Inf. Sci.,2022

5. Continual learning classification method with weighted k-nearest neighbor rule for time varying data space based on the artificial immune system;Li;Knowl.-Based Syst.,2022

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How to mine the abnormal information of power transformers: An efficient tool for quantifying the fault characteristics via multi-vibration signals;Advanced Engineering Informatics;2024-10

2. A novel diagnostic framework based on vibration image encoding and multi-scale neural network;Expert Systems with Applications;2024-10

3. Neural architecture search for multi-sensor information fusion-based intelligent fault diagnosis;Advanced Engineering Informatics;2024-10

4. A post-processing method called Fourier transform based on local maxima of autocorrelation function for extracting fault feature of bearings;Advanced Engineering Informatics;2024-10

5. Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios;Advanced Engineering Informatics;2024-10