Vibration-based fault diagnosis of a rotor bearing system using artificial neural network and support vector machine.
Pavan Kumar KankarSatish C. SharmaSuraj Prakash HarshaPublished in: Int. J. Model. Identif. Control. (2012)
Keyphrases
- using artificial neural networks
- fault diagnosis
- support vector machine
- monitoring and fault diagnosis
- vibration signal
- operating conditions
- artificial neural networks
- neural network
- expert systems
- fault detection
- condition monitoring
- fuzzy logic
- bp neural network
- fault detection and diagnosis
- support vector
- electronic equipment
- multiple faults
- rbf neural network
- multi sensor information fusion
- feature vectors
- power transformers
- analog circuits
- rotating machinery
- kernel function
- training data
- friction coefficient
- radial basis function
- neural network model
- electrical power systems
- training set
- gas turbine
- finite element analysis
- industrial systems
- chemical process
- genetic algorithm
- fault identification
- knowledge base
- feature space
- tennessee eastman
- power plant
- support vector machine svm
- support vector regression
- power system
- back propagation
- computational intelligence
- wavelet transform
- feature selection
- machine learning