Application of Kernel C-Means Clustering and Dempster-Shafer Theory of evidence in power transformers fault diagnosis.
Xiaoyun SunYongchun LiangDandan LvDonghui LiuJian-Peng BianPublished in: FSKD (2010)
Keyphrases
- power transformers
- fault diagnosis
- steam turbine
- condition monitoring
- soft computing methods
- electrical power systems
- expert systems
- fault detection
- neural network
- fault detection and diagnosis
- bp neural network
- condition monitoring and assessment
- dempster shafer theory of evidence
- electronic equipment
- analog circuits
- fuzzy logic
- failure diagnosis
- fault detection and isolation
- fault identification
- rbf neural network
- data mining
- operating conditions
- chemical process
- industrial systems
- rotating machinery
- artificial neural networks
- support vector
- monitoring and fault diagnosis
- artificial intelligence