Application of Variable Precision Rough Set Model and Neural Network to Rotating Machinery Fault Diagnosis.
Qingmin ZhouChenbo YinYongsheng LiPublished in: RSFDGrC (2) (2005)
Keyphrases
- fault diagnosis
- rotating machinery
- neural network
- fault detection
- steam turbine
- electrical power systems
- expert systems
- bp neural network
- fuzzy logic
- soft computing methods
- power transformers
- fault detection and diagnosis
- rbf neural network
- analog circuits
- chemical process
- electronic equipment
- monitoring and fault diagnosis
- multiple faults
- variable precision rough set model
- power plant
- operating conditions
- genetic algorithm
- condition monitoring
- artificial neural networks
- multi sensor information fusion
- gas turbine
- data mining
- neural network model
- tennessee eastman
- pattern recognition
- fault diagnostic