A novel fault diagnosis system using pattern classification on kernel FDA subspace.
Zhi-Bo ZhuZhi-Huan SongPublished in: Expert Syst. Appl. (2011)
Keyphrases
- pattern classification
- fault diagnosis
- feature extraction
- parzen window
- feature space
- neural network
- fault detection
- expert systems
- kernel pca
- fault detection and diagnosis
- rbf neural network
- kernel function
- power transformers
- fuzzy logic
- operating conditions
- pattern recognition
- bp neural network
- high dimensional
- monitoring and fault diagnosis
- high dimensional data
- support vector
- low dimensional
- multiple faults
- gas turbine
- chemical process
- electronic equipment
- fuzzy classifier
- rotating machinery
- multi sensor information fusion
- principal component analysis
- probabilistic neural network
- subspace learning
- image processing
- analog circuits
- locality preserving
- signal processing
- dimensionality reduction
- control system
- artificial neural networks
- machine learning