An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder.
Changqing ShenYumei QiJun WangGaigai CaiZhongkui ZhuPublished in: Eng. Appl. Artif. Intell. (2018)
Keyphrases
- fault diagnosis
- rotating machinery
- multi sensor information fusion
- rbf neural network
- bp neural network
- feature set
- clustering method
- extracted features
- fault detection
- feature extraction
- fuzzy logic
- support vector machine svm
- genetic algorithm
- multiresolution
- condition monitoring
- chemical process
- expert systems
- fault tree