Track and hunt metaheuristic based deep neural network based fault diagnosis model for the voltage source inverter under varying load conditions

•The highlights of the article are given below for your kind perusal. Kindly, consider and forward my article for further processes.•The proposed track and hunt meta heuristic is developed through hybridizing the characteristics of hunting and tracking. After the data acquisition, the features are extracted from the collected faulty data in the form of three-phase current, voltage, torque, and speed.•The deep neural network classifier is trained using the obtained features and the faulty switches are identified through the average value of the three-phase current. The three-phase induction motor is connected as a load for the voltage source inverter with reference to the frequency variation.•The prediction performance using the proposed track and hunt meta heuristics based deep learning classifier is analyzed based on the performance measures.