Syftet med projektet är att utveckla och experimentellt utvärdera nya algoritmer för att upptäcka och isolera fel i elmotorer.
Publikationer: Broken Bars Fault Diagnosis Based on Uncertainty Bounds Violation for Three Phase Induction Motors; Principal component analysis of the start-up transient and hidden Markov modeling for broken rotor bar fault diagnosis in asynchronous machines; Fault classification scheme for three phase induction motor; A fault diagnosis scheme for three phase induction motors based on uncertainty bounds; Fault detection based on set membership identification for three phase induction motors; A Robust Linear Discrimination Fault Classification Scheme for Three Phase Induction Motors; Faults detection and diagnosis for three phase induction machines; Broken bar fault detection based on set membership identification for three phase induction motors; Broken rotor bar fault detection based on uncertainty ellipsoidal intersection for three phase induction motors; Experimental evaluation of a broken rotor bar fault detection scheme based on uncertainty bounds violation; Detecting broken rotor bars in induction motors with model-based support vector classifiers; Status: Pågående; Period: 01/06/2011 → …