A Comprehensive Diagnosis Method of Rolling Bearing Fault Based on CEEMDAN-DFA-Improved Wavelet Threshold Function and QPSO-MPE-SVM.
Yi WangChuannuo XuYu WangXuezhen ChengPublished in: Entropy (2021)
Keyphrases
- feature extraction
- support vector machine svm
- feature set
- classification method
- multiscale
- objective function
- basis functions
- particle swarm optimization
- closely related
- mathematical model
- quantum behaved particle swarm optimization
- wavelet analysis
- particle swarm optimization algorithm
- kernel methods
- simulated annealing
- multi class
- knn
- probabilistic model
- support vector
- training data