Inter-turn short fault diagnosis of permanent magnet synchronous machines using negative sequence components.
Hyeyun JeongSeokbae MoonJewon LeeSang Woo KimPublished in: ICIT (2016)
Keyphrases
- fault diagnosis
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- gas turbine
- rbf neural network
- permanent magnet synchronous
- electronic equipment
- bp neural network
- failure diagnosis
- fuzzy logic
- monitoring and fault diagnosis
- fault detection and isolation
- multiple faults
- industrial systems
- condition monitoring
- operating conditions
- analog circuits
- chemical process
- positive and negative
- power transformers
- fault identification
- soft computing methods
- rotating machinery
- fault tree
- fault diagnostic
- multi sensor information fusion
- clustering analysis
- computational intelligence
- simulation model