DC MOTOR CONDITION MONITORING USING ARTIFICIAL NEURAL NETWORK

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PRAJAKTA RAJENDRA GOSAVI
PROF.A.R.WADHEKAR

Abstract

Electrical motors especially DC motorplays very important role in the industryin heavy machining industry, where starting torque plays very important role. The use of DCmotor is done in a maximum way, to avail advantages ofhigh starting toque, preferably in crane applications. The improper maintenance of industrial motors is very much necessary to avoid the production loss.In this paper artificial neural network control (ANNC) based technique is proposed for analysis of vibration, power consumption etc. In last decade ANN based controllers even for non linear systems. The test results analyzed for steady as well as dynamic conditions. From the obtained results it is said that ANN controller is more than PI, PID controller.

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How to Cite
PRAJAKTA RAJENDRA GOSAVI, & PROF.A.R.WADHEKAR. (2021). DC MOTOR CONDITION MONITORING USING ARTIFICIAL NEURAL NETWORK . International Journal of Innovations in Engineering Research and Technology, 5(4), 1–5. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/1493
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