Simulating a Lack of Phase Fault on SynRM and Integrate Results with Machine Learning

Modern intelligent systems for diagnostics of electric drives widely use the methods of artificial intelligence. In the article, a complex mathematical model of synchronous reluctance machine (SynRM) is proposed, with the help of which various fault can be simulated. With the help of the model, a lack of phase fault was simulated. Using a machine learning method, the fault was identified with an accuracy of over 97 percent.