Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine.
Achmad WidodoEric Y. KimJong-Duk SonBo-Suk YangAndy Chit Chiow TanDong-Sik GuByeong-Keun ChoiJoseph MathewPublished in: Expert Syst. Appl. (2009)
Keyphrases
- fault diagnosis
- relevance vector machine
- support vector machine
- monitoring and fault diagnosis
- neural network
- nonlinear regression
- expert systems
- fault detection
- machine learning
- chemical process
- bp neural network
- fuzzy logic
- fault detection and diagnosis
- support vector
- multi class
- multiple faults
- k nearest neighbor
- support vector machine svm
- power transformers
- feature vectors
- operating conditions
- kernel function
- training data
- condition monitoring
- feature selection
- rbf neural network
- multi sensor information fusion
- training set
- feature space
- wind turbine
- real time
- analog circuits
- gaussian processes
- decision making
- radial basis function