Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis.
Zongzhen ZhangShunming LiJinrui WangYu XinZenghui AnXingxing JiangPublished in: Neurocomputing (2020)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- neural network
- expert systems
- bp neural network
- fault detection and diagnosis
- fault identification
- rbf neural network
- condition monitoring
- analog circuits
- real time
- operating conditions
- gas turbine
- failure diagnosis
- industrial systems
- monitoring and fault diagnosis
- chemical process
- power transformers
- multiple faults
- electronic equipment
- fuzzy logic
- soft computing methods
- power plant
- fault detection and isolation
- machine learning
- electrical power systems
- steam turbine