Identification of acoustic spectra for fault detection in induction motors.
Hüseyin AkçayEmin GermenPublished in: AFRICON (2013)
Keyphrases
- fault detection
- fault detection and diagnosis
- fault diagnosis
- induction motor
- fault identification
- industrial processes
- condition monitoring
- tennessee eastman
- robust fault detection
- fuel cell
- fault detection and isolation
- failure detection
- fault localization
- neural network
- decision making
- bp neural network
- fuzzy rules
- computer simulation
- fuzzy logic
- artificial neural networks
- fault isolation
- knowledge base
- machine learning
- real time