Generative Adversarial Networks for Gearbox of Wind Turbine With Unbalanced Data Sets in Fault Diagnosis
Author:
Affiliation:
1. Department of Mechanical Engineering, Shandong University of Technology, Zibo, China
Funder
Natural Science Foundation of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9812846/09787092.pdf?arnumber=9787092
Reference33 articles.
1. Fault diagnosis method of wind turbine planetary gearbox based on improved generative adversarial network;li;Proc CSEE,2021
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3. Fault Diagnosis in Gas Insulated Switchgear Based on Genetic Algorithm and Density- Based Spatial Clustering of Applications With Noise
4. An Adaptive Spectral Kurtosis Method and its Application to Fault Detection of Rolling Element Bearings
5. Multi-Imbalance: An open-source software for multi-class imbalance learning
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