A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data.
Ke ZhaoHongkai JiangChaoqiang LiuYanfeng WangKe ZhuPublished in: Knowl. Based Syst. (2022)
Keyphrases
- fault diagnosis
- rotating machinery
- data generation
- fault detection
- data sets
- expert systems
- neural network
- training data
- electronic equipment
- fuzzy logic
- data distribution
- historical data
- power transformers
- fault detection and diagnosis
- monitoring and fault diagnosis
- tennessee eastman
- analog circuits
- streaming data
- learning process