Fault Diagnosis of Rolling Bearing Based on GA-VMD and Improved WOA-LSSVM.
Junning LiWuge ChenKa HanQian WangPublished in: IEEE Access (2020)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- ls svm
- rbf neural network
- least squares support vector machine
- bp neural network
- improved algorithm
- neural network
- genetic algorithm ga
- genetic algorithm
- fuzzy logic
- fault detection
- least squares
- operating conditions
- fault detection and diagnosis
- power transformers
- evolutionary algorithm
- expert systems
- generalization ability
- condition monitoring
- electronic equipment
- fitness function
- optimization method
- gas turbine
- chemical process
- multiple faults
- feature vectors
- support vector
- vibration signal
- analog circuits
- wavelet transform
- computational intelligence
- decision trees