Rolling Bearing Fault Diagnosis under Variable Working Conditions Based on Joint Distribution Adaptation and SVM.
Ming LiZhao-Hui SunWeihui HeSiqi QiuBo LiuPublished in: IJCNN (2020)
Keyphrases
- monitoring and fault diagnosis
- joint distribution
- fault diagnosis
- maximum entropy
- operating conditions
- support vector
- marginal distributions
- random variables
- support vector machine svm
- neural network
- fault detection
- conditional probabilities
- fuzzy logic
- support vector machine
- expert systems
- electronic equipment
- power transformers
- training data
- bp neural network
- rotating machinery
- probability distribution
- feature vectors
- chemical process
- knn
- gas turbine
- multi sensor information fusion
- fault detection and diagnosis
- kernel function
- feature selection
- analog circuits
- condition monitoring
- information fusion
- linear combination
- decision trees
- learning algorithm