A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model-Reference-Cited by-同舟云学术

A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model

Published:2024 Issue: Volume:73 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Sun Shilong¹^ORCID,Ding Hao¹^ORCID,Huang Haodong¹^ORCID,Zhao Zida¹^ORCID,Wang Dong²^ORCID,Xu Wenfu³^ORCID

Affiliation:

1. School of Mechanical Engineering and Automation and Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics, Harbin Institute of Technology, Shenzhen, China

2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China

3. Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robots, Key University Laboratory of Mechanism and Machine Theory and Intelligent Unmanned Systems of Guangdong, Harbin Institute of Technology, Shenzhen, China

Funder

Program of Shenzhen Peacock Innovation Team, Guangdong, China

Basic Research Program of Shenzhen

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Higher Education Stability Support Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10504387.pdf?arnumber=10504387

Reference29 articles.

1. Automated and Adaptive Ridge Extraction for Rotating Machinery Fault Detection

2. A novel order spectrum-based Vold-Kalman filter bandwidth selection scheme for fault diagnosis of gearbox in offshore wind turbines

3. A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system

4. Tensor Denoising Assisted Time-Reassigned Synchrosqueezing Wavelet Transform for Gear Fault Diagnosis

5. Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis

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