Interturn Short Fault Diagnosis Using Magnitude and Phase of Currents in Permanent Magnet Synchronous Machines.
Hyeyun JeongHojin LeeSeongyun KimSang Woo KimPublished in: Sensors (2022)
Keyphrases
- fault diagnosis
- operating conditions
- permanent magnet synchronous
- phase information
- expert systems
- fault detection
- neural network
- fuzzy logic
- fault detection and diagnosis
- bp neural network
- monitoring and fault diagnosis
- power transformers
- gas turbine
- failure diagnosis
- electronic equipment
- industrial systems
- fault identification
- rbf neural network
- chemical process
- multi sensor information fusion
- condition monitoring
- fault detection and isolation
- power plant
- steady state
- multiple faults
- steam turbine
- genetic algorithm
- analog circuits
- vibration signal
- partial discharge
- machine learning
- real time