Rotating Machinery Fault Diagnosis Based on EMD-Approximate Entropy and LS-SVM.
Guiping DaiPublished in: ICIC (3) (2010)
Keyphrases
- rotating machinery
- fault diagnosis
- ls svm
- rbf neural network
- least squares support vector machine
- bp neural network
- fault detection
- least squares
- neural network
- generalization ability
- expert systems
- quantum genetic algorithm
- fuzzy logic
- prediction model
- monitoring and fault diagnosis
- operating conditions
- cross validation
- multi sensor information fusion
- improved algorithm
- support vector machine
- variable selection
- chemical process
- support vector
- power plant
- computational intelligence
- feature selection
- machine learning
- input variables
- correlation coefficient
- cluster analysis
- artificial intelligence