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ELMA based Design of SCMFIM to Improve the Efficiency and Power Factor

by S.s.sivaraju, N.devarajan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 22
Year of Publication: 2012
Authors: S.s.sivaraju, N.devarajan

S.s.sivaraju, N.devarajan . ELMA based Design of SCMFIM to Improve the Efficiency and Power Factor. International Journal of Computer Applications. 43, 22 ( April 2012), 23-29. DOI=10.5120/6403-8772

@article{ 10.5120/6403-8772,
author = { S.s.sivaraju, N.devarajan },
title = { ELMA based Design of SCMFIM to Improve the Efficiency and Power Factor },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 22 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { },
doi = { 10.5120/6403-8772 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:33:59.694033+05:30
%A S.s.sivaraju
%A N.devarajan
%T ELMA based Design of SCMFIM to Improve the Efficiency and Power Factor
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 22
%P 23-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA

The squirrel-cage Induction motors (SCIMs) are approximately 80% of the overall electricity use in industrialized countries. In the agricultural and commercial sectors also, power consumption by high power SCIMs are quite substantial. On an average, the energy consumed by a motor during its life cycle is 40-80 times the initial cost of the motors. Therefore efficiency and power factor (PF) of the motor is very essential for both during design and operation. Even small increase in efficiency and power factor, improvement can make a big difference in energy savings in variable load applications. In this paper mainly focusing on optimal design of multiple stator-winding to improve efficiency and power factor of high power SCIMs during variable loads, the different flux level of stator winding are designed [4] (star-delta) according to variable loads and its performance is discussed. The Extreme Learning Machine Algorithm (ELMA) is used for the multiple stator winding design and optimization process and the obtained simulation results are compared. The importance of this work is to improve the efficiency and power factor of the high power three phase SCIMs during variable load applications, and to reduce power losses [15, 23] energy consumption in the industry and in the territory sectors

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Index Terms

Computer Science
Information Sciences


Elma Energy Efficiency Efficiency Induction Motor Multi-flux Power Factor