Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering.
Maryam Farajzadeh-ZanjaniRoozbeh Razavi-FarMehrdad SaifJafar ZareiVasile PaladePublished in: ICMLA (2015)
Keyphrases
- density based clustering
- fault detection and diagnosis
- induction motor
- fault diagnosis
- fuzzy controller
- pi controller
- fuzzy logic
- fault detection
- outlier detection
- clustering algorithm
- fuzzy logic controller
- high efficiency
- fuzzy sets
- arbitrary shape
- distributed data mining
- categorical data
- control scheme
- membership functions
- fuzzy clustering
- fuzzy neural network
- control system
- density based clustering algorithm
- fuzzy control
- closed loop
- fuzzy rules
- clustering framework
- expert systems
- machine learning
- data mining techniques
- association rules