Multiphysical modeling for fault detection in Permanent Magnet Synchronous Motors.
Kawthar AlamehNicolas CitéGhaleb HoblosGeorges BarakatPublished in: ICIT (2015)
Keyphrases
- fault detection
- industrial processes
- fault identification
- fault diagnosis
- fault detection and diagnosis
- robust fault detection
- condition monitoring
- tennessee eastman
- rotating machinery
- failure detection
- permanent magnet synchronous
- fuel cell
- fault localization
- artificial neural networks
- data analysis
- artificial intelligence
- machine learning
- real time
- wavelet transform
- state space
- fault isolation
- fault detection and isolation
- control system
- search space