EFFICIENCY ESTIMATION OF INDUCTION MOTORS AT DIFFERENT SIZES WITH ARTIFICIAL NEURAL NETWORKS AND LINEAR ESTIMATION USING CATALOG VALUES

Year 2018, Volume: 19 Issue: 2, 293 - 302, 31.03.2018

Mine Sertsöz , Mehmet Fidan , Mehmet Kurban

https://doi.org/10.18038/aubtda.333118

Cited By: 2

Abstract

Induction motors are the most
preferable motors for the locomotives because of their simple but robust
structure. The efficiency of the preferred motor is crucial for the limitation
of the load pulled by the locomotive and suitability for the geographic
conditions. For
this reason, determining energy efficiency and operating conditions in
induction motors is a very important issue. It is often not possible to
experimentally realize the efficiency of induction motors, because this means
that the motor is stopped during that time. This is an obstacle to the
efficiency of the operator while trying to contribute to energy efficiency in
the enterprise.

 

Therefore,
estimation the efficiency of the motor provides a significant contribution to
the operation and energy efficiency. Many studies have been made in the literature,
which related to this issue. The difference of this study is that efficency
estimations of induction motors at 17 different power are realized with
artificial neural networks and linear prediction by looking at the values of
speed, current and moment in the catalog. And also before the estimation is applied, the
statistical relations between efficiency and moment, efficiency and speed,
efficiency and current of the motor are also analyzed and presented.

Keywords

Efficiency Estimation, Neural Networks, Linear Prediction, Induction Motors

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