Multivariable dynamic system fault diagnosis using nonlinear spectrum and SVM fusion.
Jialiang ZhangJianfu CaoFeng GaoPublished in: CIVEMSA (2015)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- fault detection and isolation
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- fault isolation
- support vector
- operating conditions
- condition monitoring
- electronic equipment
- gas turbine
- multiple faults
- analog circuits
- bp neural network
- information fusion
- rotating machinery
- power transformers
- chemical process
- support vector machine svm
- multi sensor information fusion
- failure diagnosis
- closed loop
- input output
- fault identification
- support vector machine
- training set
- industrial systems
- power plant
- rbf neural network
- data fusion
- denoising
- fuzzy logic
- multiresolution
- feature vectors
- feature space
- machine learning