Neural networks and statistical decision making for fault diagnosis of PM linear synchronous machines.
Gerasimos G. RigatosNikolaos A. ZervosMasoud AbbaszadehPierluigi SianoDimitrios SerpanosVasileios SiadimasPublished in: Int. J. Syst. Sci. (2020)
Keyphrases
- fault diagnosis
- neural network
- decision making
- fuzzy logic
- fault detection
- expert systems
- fault detection and diagnosis
- electronic equipment
- rotating machinery
- rbf neural network
- bp neural network
- power transformers
- operating conditions
- gas turbine
- condition monitoring
- decision makers
- monitoring and fault diagnosis
- electrical power systems
- failure diagnosis
- chemical process
- genetic algorithm
- soft computing methods
- multiple faults
- analog circuits
- industrial systems
- fault detection and isolation
- fault identification
- steady state
- decision support system
- fuzzy rules
- fault tree
- tennessee eastman
- artificial neural networks
- fault diagnostic