Discriminative feature-based adaptive distribution alignment (DFADA) for rotating machine fault diagnosis under variable working conditions.
Weiwei QianShunming LiTong YaoKun XuPublished in: Appl. Soft Comput. (2021)
Keyphrases
- fault diagnosis
- operating conditions
- fault detection
- neural network
- fault detection and diagnosis
- expert systems
- fuzzy logic
- monitoring and fault diagnosis
- electronic equipment
- bp neural network
- chemical process
- rbf neural network
- multiple faults
- condition monitoring
- gas turbine
- vibration signal
- multi sensor information fusion
- analog circuits
- power plant
- failure diagnosis
- fault detection and isolation
- rotating machinery
- electrical power systems
- power transformers
- industrial systems
- artificial neural networks
- feature extraction
- decision making
- information fusion
- case study