A REVIEW OF SMART SYSTEMS FOR HEALTH MONITORING OF INDUSTRIAL MOTOR

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PRAJAKTA RAJENDRA GOSAVI
PROF.A.R.WADHEKAR

Abstract

Today’s life electrical machine play an important role in industry as well as in residentialarea,But due to the electrical criseselectricity problem increasesday to day life.Because of that problem electrical machine failurechancesisincrease,that affecteconomicgrowth of the industry as well as residency.That mean directly affect growth of country. For that purpose we require to take some action or find some remedies over this problem. By using Artificial Neural Network Control (ANNC) which will take care of all the test analysis need for safety standards (vibration, torque, voltage, current, power consumption bearing test and etc.,) of a AC/DCdevices with its own training and testing principle of operation. Recently, Artificial Neural Network (ANN) has gained momentum as a controller for nonlinear systems. The complete test system is modeled in Matlab / Simulink. The test results have been analyzed for both steady state and dynamic conditions. It is evident from the results that the proposed ANN controller gives promising results than the PI, PID control

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How to Cite
PRAJAKTA RAJENDRA GOSAVI, & PROF.A.R.WADHEKAR. (2021). A REVIEW OF SMART SYSTEMS FOR HEALTH MONITORING OF INDUSTRIAL MOTOR. International Journal of Innovations in Engineering Research and Technology, 5(4), 1–4. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/1494
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