Transparent Operator Network: A Fully Interpretable Network Incorporating Learnable Wavelet Operator for Intelligent Fault Diagnosis
Author:
Affiliation:
1. State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, China
Funder
Science Center for Gas Turbine Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9424/10550081/10475665.pdf?arnumber=10475665
Reference37 articles.
1. Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models
2. From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where
3. Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles
4. Applications of machine learning to machine fault diagnosis: A review and roadmap
5. Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning
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1. Fault Diagnosis Method of Special Vehicle Bearing Based on Multi-Scale Feature Fusion and Transfer Adversarial Learning;Sensors;2024-08-10
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3. Mixed Attention Network for Source-Free Domain Adaptation in Bearing Fault Diagnosis;IEEE Access;2024
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