Research on automatic fault diagnosis based on time -frequency characteristics and PCA-SVM.
Manliang CaoHongxia PanXuefang ChangPublished in: URAI (2016)
Keyphrases
- fault diagnosis
- principal component analysis
- fault detection
- expert systems
- support vector
- neural network
- support vector machine svm
- electronic equipment
- svm classifier
- multiple faults
- fault detection and diagnosis
- rotating machinery
- gas turbine
- chemical process
- feature extraction
- bp neural network
- power transformers
- fuzzy logic
- support vector machine
- feature space
- analog circuits
- industrial systems
- rbf neural network
- operating conditions
- fault identification
- feature selection
- multi sensor information fusion
- condition monitoring
- wavelet transform
- knn
- data mining
- failure diagnosis
- fault detection and isolation
- face recognition
- fault tree
- real time
- closed loop
- kernel function
- machine learning
- artificial neural networks
- training data