VERIFIED Operations Research Book By Kanti Swarup Free Downloadl

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Shay Silvertooth

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Jul 9, 2024, 9:01:09 AM7/9/24

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This article explains inter-turn fault analysis of induction motor-based pumping system, and the parameter changes during fault situations in different turn conditions have been shown. The simulation results have been verified through the HIL loop-based (OP5700) device, and the motor's phase current increases when the fault occurs. Once current increases, speed, and torque also increase, affecting the pumping system. Speed helps to increase the flow rate of the pump suddenly, and it causes a huge pressure drop and a decrease in head value. If pressure drops drastically, a cavitation problem occurs, and sudden increase in flow rate causes huge vibration in the pipe, which causes a water hammering problem. In this research, at first, ANN and ANFIS algorithm-based models identification and prediction of the fault have been done. Both the techniques are used, and it is seen that ANN performs better than ANFIS, based on RMSE and R2 values. Various other research works are also compared with the proposed work to find out the new development in the proposed work. It is observed that the proposed research is suitable for industrial application and can easily identify the faulty condition for a large amount of data. In the future, the ANN would have been used for other fault detections in motor and pumping systems and for other machineries and can become a comprehensive diagnosis technique. The authors also compared various ML algorithms with ANN and ANFIS, among which, based on accuracy rate, prediction speed and training time it is seen that K-NN and ANN can work better for the proposed research. But based on overall accuracy rate K-NN works better than ANN. In addition, the deployment of the developed technique in a laboratory environment is an extension of the present work. More researches are possible through HIL based OP5700 device to verify the simulation results.