Performance assessment of a novel fault diagnosis system based on support vector machines.
Ignacio Yélamos-RuizGerard EscuderoMoisès GraellsLuis PuigjanerPublished in: Comput. Chem. Eng. (2009)
Keyphrases
- fault diagnosis
- support vector
- large margin classifiers
- expert systems
- fault detection
- neural network
- fault detection and diagnosis
- kernel function
- bp neural network
- rbf neural network
- operating conditions
- analog circuits
- fuzzy logic
- failure diagnosis
- monitoring and fault diagnosis
- feature selection
- rotating machinery
- power transformers
- support vector machine
- gas turbine
- fault detection and isolation
- electronic equipment
- multiple faults
- chemical process
- condition monitoring
- power plant
- multi sensor information fusion
- electrical power systems
- fault diagnostic
- soft computing methods
- fault identification
- industrial systems
- bp algorithm
- radial basis function
- data fusion
- machine learning