Feature models and condition visualization for rotating machinery fault diagnosis.
Thomas W. RauberFrancisco de Assis BoldtFlávio Miguel VarejãoMarcos Pellegrini RibeiroPublished in: ICECS (2013)
Keyphrases
- fault diagnosis
- rotating machinery
- fault detection
- expert systems
- monitoring and fault diagnosis
- electronic equipment
- neural network
- rbf neural network
- analog circuits
- fault detection and diagnosis
- operating conditions
- power transformers
- gas turbine
- multiple faults
- bp neural network
- chemical process
- soft computing methods
- fuzzy logic
- multi sensor information fusion
- tennessee eastman
- steam turbine
- electrical power systems
- markov chain
- feature extraction