A data-driven and probabilistic approach to residual evaluation for fault diagnosis.
Carl SvärdMattias NybergErik FriskMattias KrysanderPublished in: CDC/ECC (2011)
Keyphrases
- fault diagnosis
- data driven
- expert systems
- bp neural network
- neural network
- fault detection
- rotating machinery
- multi sensor information fusion
- power transformers
- gas turbine
- fault detection and diagnosis
- condition monitoring
- chemical process
- electronic equipment
- fuzzy logic
- rbf neural network
- failure diagnosis
- monitoring and fault diagnosis
- analog circuits
- industrial systems
- evaluation model
- multiple faults
- fault identification
- operating conditions
- fault detection and isolation
- power plant
- electrical power systems
- case study
- decision making
- evaluation method