Application of Fuzzy SOFM Neural Network and Rough Set Theory on Fault Diagnosis for Rotating Machinery.
Dongxiang JiangKai LiGang ZhaoJinhui DiaoPublished in: ISNN (3) (2005)
Keyphrases
- fault diagnosis
- rotating machinery
- rough set theory
- neural network
- fuzzy logic
- rough sets
- fuzzy set theory
- rough fuzzy
- fault detection
- expert systems
- electrical power systems
- bp neural network
- fuzzy sets
- operating conditions
- rule generation
- rule extraction
- attribute reduction
- knowledge reduction
- decision rules
- analog circuits
- knowledge discovery
- variable precision rough set model
- imprecise data
- artificial neural networks
- chemical process
- multiple faults
- monitoring and fault diagnosis
- decision table
- fuzzy neural network
- power plant
- equivalence relation
- approximation spaces
- concept lattice
- self organizing maps
- attribute set
- granular computing
- decision making
- fuzzy rough sets
- soft computing
- information entropy
- neural network model
- rule sets
- rule base
- membership functions
- fuzzy rules
- fuzzy theory
- pattern recognition
- real time