Auto-adaptive and Dynamical Clustering for Open-Circuit Fault Diagnosis of Power Inverters.
Thanh Hung PhamSanda LefteriuCécile LabarreEric DuviellaStéphane LecoeuchePublished in: ECC (2019)
Keyphrases
- fault diagnosis
- analog circuits
- expert systems
- neural network
- bp neural network
- fault detection
- fault identification
- fault detection and diagnosis
- k means
- clustering method
- electronic equipment
- power consumption
- chemical process
- gas turbine
- multiple faults
- condition monitoring
- failure diagnosis
- fuzzy logic
- clustering algorithm
- industrial systems
- wind turbine
- single phase
- rbf neural network
- operating conditions
- monitoring and fault diagnosis
- multi sensor information fusion
- power transformers
- cluster analysis
- fault detection and isolation
- self organizing maps
- rotating machinery
- data clustering
- fuzzy clustering
- control system
- electrical power systems
- steam turbine