Rolling Bearing Fault Diagnosis Based on Convolutional Neural Network and Support Vector Machine.
Laohu YuanDongshan LianXue KangYuanqiang ChenKejia ZhaiPublished in: IEEE Access (2020)
Keyphrases
- monitoring and fault diagnosis
- convolutional neural network
- fault diagnosis
- support vector machine
- neural network
- face detection
- fault detection
- expert systems
- fuzzy logic
- multi class
- bp neural network
- fault detection and diagnosis
- support vector
- rbf neural network
- support vector machine svm
- condition monitoring
- electronic equipment
- training data
- operating conditions
- fault detection and isolation
- feature vectors
- kernel function
- power transformers
- analog circuits
- gas turbine
- multiple faults
- power plant
- fault tree
- knn
- feature selection
- machine learning
- multi sensor information fusion
- support vector regression
- object detection
- failure diagnosis
- soft computing methods
- fuzzy sets
- rotating machinery
- denoising
- electrical power systems
- feature space