Bidirectional Shrinkage Gated Recurrent Unit Network With Multiscale Attention Mechanism for Multisensor Fault Diagnosis-Reference-Cited by-同舟云学术

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Bidirectional Shrinkage Gated Recurrent Unit Network With Multiscale Attention Mechanism for Multisensor Fault Diagnosis

Published:2023-10-15 Issue:20 Volume:23 Page:25518-25533
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Gang¹^ORCID,Li Yanmei²,Wang Yifei²,Wu Zhangjun¹^ORCID,Lu Mingfeng²

Affiliation:

1. School of Management, the Key Laboratory of Process Optimization and Intelligent Decision-Making of the Ministry of Education, and the Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies, Hefei University of Technology, Hefei, China

2. School of Management, Hefei University of Technology, Hefei, China

Funder

National Natural Science Foundation of China

Science Fund for Distinguished Young Scholars of Anhui

Anhui Provincial Key Research and Development Program

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10286142/10233194.pdf?arnumber=10233194

Reference65 articles.

1. A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment

2. CBAM: Convolutional block attention module;woo;Computer Vision—ECCV 2018,2018

3. Magnetic Anomaly Detection Using One-Dimensional Convolutional Neural Network With Multi-Feature Fusion

4. Multi-scale dynamic adaptive residual network for fault diagnosis

5. 1D convolutional neural networks and applications: A survey

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1. Multi-modality hierarchical attention networks for defect identification in pipeline MFL detection;Measurement Science and Technology;2024-08-05

2. Multirotational Speed Data Augmentation and Data Repair of High-Speed Train Wheelset Bearings Using Graph Speed Classifier GAN;IEEE Sensors Journal;2023-12-15

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