A customizable railway benchmark to deal with fault diagnosis issues in DES.
Mohamed GhazelBaisi LiuPublished in: WODES (2016)
Keyphrases
- fault diagnosis
- fault detection
- neural network
- tennessee eastman
- operating conditions
- expert systems
- power transformers
- electronic equipment
- chemical process
- fault detection and diagnosis
- fuzzy logic
- gas turbine
- rbf neural network
- bp neural network
- multiple faults
- rotating machinery
- monitoring and fault diagnosis
- analog circuits
- failure diagnosis
- industrial systems
- multi sensor information fusion
- soft computing methods
- condition monitoring
- electrical power systems
- fault detection and isolation
- fault identification
- machine learning