Abstract:
In recent times, multilevel inverters are used as high priority in many large industrial drive applications. However, the reliability and performance of multilevel inverters are affected by the failure of power electronic switches. In this paper, failure of power electronic switches of multilevel inverters is identified with the help of high performance diagnostic system during open switch and short condition. Experimental and simulation analysis was carried out on five levels cascaded h-bridge multilevel inverter and its output voltage waveforms were synthesized at different switch fault cases and at different modulation index parameter values. Salient frequency domain features of the output voltage signal were extracted using the Fast Fourier Transform decomposition technique. The real time work of the proposed fault diagnostic system was implemented through the LabVIEW software. The Offline Artificial neural network was trained using the MATLAB software and the overall system parameters were transferred to the LabVIEW real time system. In the proposed system, it is possible to successfully identify the individual faulty switch of multilevel inverters.
