Gear Fault Diagnosis Based on Improved Small Channel CNN under Attention Mechanism
Author:
Affiliation:
1. Harbin Engineering University,College of Aerospace and Civil Engineering,Harbin,China
2. Naval Research Institute,Beijing,China,PLA 92942
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10336048/10336051/10336077.pdf?arnumber=10336077
Reference19 articles.
1. Rolling Bearing Fault Diagnosis Method Based on Attention CNN and BiLSTM Network
2. Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm
3. ImageNet classification with deep convolutional neural networks
4. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
5. Analogue circuit fault diagnosis based on convolution neural network
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