Bearing Fault Diagnosis Based on Feature Weighted FCM Cluster Analysis.
Wentao SuiChanghou LuDan ZhangPublished in: CSSE (5) (2008)
Keyphrases
- cluster analysis
- fault diagnosis
- fuzzy c means
- monitoring and fault diagnosis
- fuzzy clustering
- clustering algorithm
- k means
- categorical data
- expert systems
- clustering method
- neural network
- hierarchical latent class models
- fault detection
- cluster validity
- fuzzy logic
- data clustering
- operating conditions
- chemical process
- factor analysis
- power transformers
- gas turbine
- multiple faults
- data mining
- unsupervised learning
- electronic equipment
- data analysis
- clustering analysis
- condition monitoring
- fault detection and diagnosis
- feature vectors
- multi sensor information fusion
- power plant
- real world
- analog circuits
- rotating machinery
- tennessee eastman
- maximum likelihood