Application of improved wavelet packet energy entropy and GA-SVM in rolling bearing fault diagnosis.
Shuangli LiZengli LiuPublished in: ICSPCC (2018)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- wavelet packet
- steam turbine
- neural network
- electrical power systems
- expert systems
- fault detection
- fault detection and diagnosis
- fuzzy logic
- power transformers
- support vector machine svm
- condition monitoring
- genetic algorithm
- support vector
- signal processing
- support vector machine
- chemical process
- multiple faults
- electronic equipment
- rotating machinery
- bp neural network
- rbf neural network
- information fusion
- filter bank
- data fusion
- vibration signal
- gas turbine
- knowledge base
- artificial intelligence