Improving fault diagnosis accuracy by automatic test set modification.
Luca AmatiCristiana BolchiniFabio SaliceFederico FranzosoPublished in: ITC (2010)
Keyphrases
- test set
- fault diagnosis
- error rate
- random selection
- expert systems
- training set
- neural network
- electronic equipment
- bp neural network
- fault detection and diagnosis
- fault detection
- chemical process
- multiple faults
- class distribution
- test data
- fuzzy logic
- training data
- analog circuits
- fault identification
- electrical power systems
- monitoring and fault diagnosis
- power transformers
- rbf neural network
- gas turbine
- failure diagnosis
- operating conditions
- fault detection and isolation
- power plant
- rotating machinery
- decision trees
- artificial intelligence