A Novel Approach for Fault Diagnosis of Multilevel Inverter Using Dwt and Fuzzy Logic Algorithm

With the advent of rapid development in technology, use of multilevel inverter (MLI) increased drastically as it has many advantages compared to normal inverters. But, with increase in switches there is a high chance of occurrence of failure. So, for a system to be more reliable, fault must be detected and cleared as fast as possible. In this paper, fault diagnosis is performed using discrete wavelet transform (DWT) and fuzzy logic. Valuable features for output voltage signals are extracted by DWT. Fuzzy logic is used for switch fault detection in the last stage. This method has satisfactory results and reasonable advantages over traditional methods.