Fault Diagnosis of Gas Pressure Regulators Based on CEEMDAN and Feature Clustering.
Shen TianXiaoyu BianZhipeng TangKuan YangLei LiPublished in: IEEE Access (2019)
Keyphrases
- fault diagnosis
- neural network
- fault detection
- expert systems
- electronic equipment
- fault detection and diagnosis
- fuzzy logic
- clustering algorithm
- chemical process
- power transformers
- operating conditions
- multiple faults
- gas turbine
- k means
- analog circuits
- bp neural network
- rbf neural network
- fault identification
- genetic algorithm
- self organizing maps
- clustering method
- condition monitoring
- electrical power systems
- soft computing methods
- feature vectors
- high pressure
- cluster analysis
- failure diagnosis
- monitoring and fault diagnosis
- rotating machinery
- artificial intelligence
- multi sensor information fusion
- power plant
- tennessee eastman
- steam turbine
- knowledge base
- fault detection and isolation
- feature extraction
- artificial neural networks
- industrial systems
- control system