Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM.
Hong TangZhengxing YuanHongliang DaiYi DuPublished in: IEEE Access (2020)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- neural network
- support vector
- expert systems
- genetic algorithm
- fault detection
- support vector machine svm
- genetic algorithm ga
- fault detection and diagnosis
- fuzzy logic
- electronic equipment
- operating conditions
- knn
- power transformers
- multiple faults
- bp neural network
- rbf neural network
- rotating machinery
- support vector machine
- ant colony algorithm
- industrial systems
- real time
- fault detection and isolation
- chemical process
- gas turbine
- analog circuits
- feature vectors
- probabilistic neural networks
- condition monitoring
- failure diagnosis
- particle swarm optimization
- intelligent systems
- artificial neural networks
- hybrid algorithm
- fault identification
- training set
- training data
- artificial intelligence
- multi sensor information fusion