A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis.
Weiwei QianShunming LiJinrui WangQijun WuPublished in: Neurocomputing (2018)
Keyphrases
- fault diagnosis
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- electronic equipment
- monitoring and fault diagnosis
- multiple faults
- chemical process
- bp neural network
- operating conditions
- condition monitoring
- fuzzy logic
- power transformers
- gas turbine
- multi sensor information fusion
- fault identification
- industrial systems
- analog circuits
- rbf neural network
- rotating machinery
- vibration signal
- fault diagnostic
- learning algorithm
- failure diagnosis
- soft computing methods
- fault tree
- electrical power systems
- information fusion
- multiresolution
- steam turbine
- case study