Hierarchical Gray Wolf Optimizer-Tuned Flexible Residual Neural Network With Parallel Attention Module for Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

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Hierarchical Gray Wolf Optimizer-Tuned Flexible Residual Neural Network With Parallel Attention Module for Bearing Fault Diagnosis

Published:2024-06-15 Issue:12 Volume:24 Page:19626-19635
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Chen Chuang¹^ORCID,Li Xianfeng¹^ORCID,Shi Jiantao¹^ORCID

Affiliation:

1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10558706/10529929.pdf?arnumber=10529929

Reference44 articles.

1. Prediction Interval Estimation of Aeroengine Remaining Useful Life Based on Bidirectional Long Short-Term Memory Network

2. Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing

3. Pseudo-Label Guided Sparse Deep Belief Network Learning Method for Fault Diagnosis of Radar Critical Components

4. Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning

5. Dynamics Analysis and Deep Learning-Based Fault Diagnosis of Defective Rolling Element Bearing on the Multi-Joint Robot

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