• Dr.K.Umamaheswari
• Gomathi.S
• Maheshwari.V
• Sujatha.G,Swathi.G

Multilevel inverter drives have become widely applied in high voltage and high power application. Therefore fault diagnosis of voltage source inverters is becoming more important. It is difficult to diagnosis a multilevel inverter drive system using a mathematical model because multilevel inverter drive system consists of many switching devices and their system complexity has a nonlinear factor. This project presents a technique to detect and diagnosis of faults occurring in a single phase five level inverter by using Artificial Neural Network without affecting the continuity of the output. The faults like over voltage, under voltage, open circuit, short circuit and losing drive pulse which occurred in the multilevel inverter are considered in this project. The method is used to identify the type and location of occurring faults from inverter by output voltage measurements. The neural network algorithm is trained to detect the faults with the help of the data sets and tested in order to eliminate the faults occurring in a multilevel inverter. By utilizing the proposed neural network fault diagnostic system, a better understanding about fault behaviours, diagnostic and detections of a multilevel inverter drive system can be accomplished. The result of the project can be shown in Hardware Experimental set up.

FAULT DETECTION AND DIAGNOSATION USING MULTILEVEL CASCADED INVERTER

"FAULT DETECTION AND DIAGNOSATION USING MULTILEVEL CASCADED INVERTER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.f501-f504, June-2022, Available :http://www.jetir.org/papers/JETIR2206564.pdf

"FAULT DETECTION AND DIAGNOSATION USING MULTILEVEL CASCADED INVERTER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppf501-f504, June-2022, Available at : http://www.jetir.org/papers/JETIR2206564.pdf