Active Learning of Support Vector Machine for Fault Diagnosis of Bearings.
Zhousuo ZhangWenzhi LvMinghui ShenPublished in: ISNN (2) (2006)
Keyphrases
- fault diagnosis
- active learning
- support vector machine
- condition monitoring
- training set
- machine learning
- expert systems
- fault detection
- neural network
- vibration signal
- multi class
- bp neural network
- support vector
- operating conditions
- fault detection and diagnosis
- power transformers
- gas turbine
- fuzzy logic
- support vector machine svm
- semi supervised
- rotating machinery
- fault identification
- monitoring and fault diagnosis
- rbf neural network
- industrial systems
- feature selection
- labeled data
- multiple faults
- kernel function
- learning algorithm
- electronic equipment
- training data
- chemical process
- failure diagnosis
- analog circuits
- feature vectors
- soft computing methods
- knn
- steam turbine
- feature space
- fault detection and isolation
- power plant
- multi sensor information fusion