Comparative Analysis of Artificial Intelligence Techniques used in Inverter Fault Diagnosis

Abstract

Machine learning (ML) and Artificial Intelligence (AI) are evolving rapidly in our daily needs, Similarly in power electronics system (PES). There are many concepts and tools in AI and ML have been developing for the fault detection and reduction of faults. Due to poor accuracy in controlling and feedback circuit and several environmental impacts on the devices leads to improper estimation and optimisation of faults by AI and ML. In inverter fed to induction motor system we can able to face several fault problems at inverter and motor terminals. This paper presents about various concepts and tools evolved in AI and ML for Fault diagnosis and reduction in case of inverter fed induction motor system.