Diagnosis and classification using ANFIS approach of stator and rotor faults in induction machine.
Merabet HichemBahi TaharDjalel DriciPublished in: Int. J. Intell. Eng. Informatics (2017)
Keyphrases
- fault detection
- fault diagnosis
- fault detection and diagnosis
- induction motor
- vibration signal
- machine learning
- fault identification
- neural network
- support vector
- multiple faults
- classification method
- classification accuracy
- image classification
- fault diagnostic
- model based diagnosis
- classification algorithm
- pattern recognition
- model selection
- text classification
- supervised learning
- fuzzy logic
- rule induction
- decision trees
- fault model
- training set
- support vector machine
- neuro fuzzy
- experimental data
- mathematical model
- support vector machine svm
- feature vectors
- closed loop
- normal operation
- decision rules
- fault detection and isolation
- feature extraction