Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis With Application to the Tennessee Eastman Process.
Gang LiCarlos F. AlcalaSi-Zhao Joe QinDonghua ZhouPublished in: IEEE Trans. Control. Syst. Technol. (2011)
Keyphrases
- fault diagnosis
- chemical process
- tennessee eastman
- fault detection
- industrial processes
- industrial systems
- fault detection and diagnosis
- neural network
- expert systems
- power plant
- bp neural network
- steam turbine
- gas turbine
- soft computing methods
- electrical power systems
- condition monitoring
- operating conditions
- fuzzy logic
- rotating machinery
- electronic equipment
- artificial intelligence
- fault identification
- multiple faults
- fault detection and isolation
- failure diagnosis
- analog circuits
- rbf neural network
- monitoring and fault diagnosis