Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis.
Xinmin SongWeihua WeiJunbo ZhouGuojun JiGhulam HussainMaohua XiaoGuosheng GengPublished in: Sensors (2023)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- support vector
- kernel function
- kernel methods
- support vector machine svm
- support vector machine
- feature space
- neural network
- expert systems
- fault detection
- multiple kernel learning
- fuzzy logic
- power transformers
- fault detection and diagnosis
- operating conditions
- gaussian processes
- feature selection
- condition monitoring
- electronic equipment
- gas turbine
- rotating machinery
- knn
- industrial systems
- rbf neural network
- failure diagnosis
- multi sensor information fusion
- fault identification
- probabilistic neural networks
- chemical process
- multiple faults
- fault detection and isolation
- feature vectors
- analog circuits
- electrical power systems
- training set
- real time
- bp neural network