WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 24, 2025
Simulating a Jammed Rotor Fault on SynRM and Integrate Results with Machine Learning
Authors: , ,
Abstract: The increasing use of synchronous reluctance motors (SynRM) in various types of electric drives is explained by its advantages. Different models of SynRM are used to study and control electric drives. In the article, a non-iterative model for electric drive research is proposed. Different types of faults can be simulated using this model. Jammed rotor fault mode is simulated. The obtained simulation results are diagnosed by machine learning, and the diagnosis accuracy is more than 98%.