Corrigendum to "A hybrid feature selection scheme for unsupervised learning and its application in bearing fault diagnosis" [Expert Systems with Applications 38 (9) (2011) 11311-11320].
Yang YangLinxia LiaoGuang MengJay LeePublished in: Expert Syst. Appl. (2013)
Keyphrases
- fault diagnosis
- selection scheme
- expert systems
- unsupervised learning
- monitoring and fault diagnosis
- selection algorithm
- fault detection
- fuzzy logic
- fault detection and diagnosis
- neural network
- gas turbine
- bp neural network
- chemical process
- operating conditions
- rbf neural network
- electronic equipment
- supervised learning
- power transformers
- multiple faults
- rotating machinery
- multi sensor information fusion
- ls svm
- analog circuits
- condition monitoring
- cluster analysis
- vibration signal
- particle swarm optimization
- dimensionality reduction
- probabilistic model
- pattern recognition
- support vector
- knowledge base