A New Fault Diagnosis Classifier for Rolling Bearing United Multi-Scale Permutation Entropy Optimize VMD and Cuckoo Search SVM.
Zijian GuoMingliang LiuYunxia WangHuabin QinPublished in: IEEE Access (2020)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- multiscale
- support vector
- svm classifier
- support vector machine
- training data
- classification algorithm
- feature selection
- support vector machine svm
- training set
- feature space
- fault detection
- neural network
- expert systems
- bp neural network
- operating conditions
- fuzzy logic
- multi class
- power transformers
- rotating machinery
- fault detection and diagnosis
- electronic equipment
- edge detection
- industrial systems
- knn
- fault identification
- gas turbine
- analog circuits
- condition monitoring
- fault diagnostic
- multi sensor information fusion
- kernel function
- rbf neural network
- class labels
- training examples
- training samples
- feature set
- feature vectors
- decision trees
- power system
- chemical process
- wavelet transform
- learning algorithm
- real time