Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine.
Xiaoli ZhangBaojian WangXueFeng ChenPublished in: Knowl. Based Syst. (2015)
Keyphrases
- fault diagnosis
- support vector machine
- condition monitoring
- neural network
- industrial systems
- expert systems
- fault detection
- training data
- fault detection and diagnosis
- fuzzy logic
- training set
- bp neural network
- vibration signal
- feature selection
- electronic equipment
- fault identification
- input output
- power transformers
- rotating machinery
- support vector
- gas turbine
- intelligent systems
- monitoring and fault diagnosis
- radial basis function
- feature vectors
- operating conditions
- chemical process
- multiple faults
- analog circuits
- fault detection and isolation
- rbf neural network
- ensemble methods
- support vector machine svm
- fault diagnostic
- multi sensor information fusion
- knowledge based expert systems
- industrial applications
- wind turbine
- transfer function
- support vector regression
- base classifiers
- knn
- electrical power systems
- feature extraction
- artificial intelligence
- genetic algorithm