ISSN: 2349-5162

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Published in:

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

Unique Identifier

JETIR1803271

Page Number

1459-1464

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Title

NATURE INSPIRED HEURISTIC ALGORITHM FOR EFFICIENCY DETERMINATION OF IN-SITU INDUCTION MOTOR

ISSN

2349-5162

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"NATURE INSPIRED HEURISTIC ALGORITHM FOR EFFICIENCY DETERMINATION OF IN-SITU INDUCTION MOTOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.1459-1464, March-2018, Available :http://www.jetir.org/papers/JETIR1803271.pdf

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Abstract

Standard induction motor efficiency estimation methods need no-load test that is not possible for in-situ induction motor (ISIM). The efficiency determination from the motor’s nameplate or manufacturer’s data is inaccurate. Inspired by the nature theory, this work proposes Glowworm Swarm Optimization (GSO) for solving the ISIM efficiency determination. The GSO approach is validated on a 5Hp motor. The proposed combined method outperforms the genetic algorithm (GA) and particle swarm optimization (PSO) approaches in solving the ISIM efficiency determination problem.

Key Words

Glowworm Swarm Optimization, genetic algorithm, evolutionary algorithm, efficiency estimation

Cite This Article

"NATURE INSPIRED HEURISTIC ALGORITHM FOR EFFICIENCY DETERMINATION OF IN-SITU INDUCTION MOTOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp1459-1464, March-2018, Available at : http://www.jetir.org/papers/JETIR1803271.pdf

Publication Details

Published Paper ID: JETIR1803271
Registration ID: 208591
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 1459-1464
ISSN Number: 2349-5162

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Cite This Article

"NATURE INSPIRED HEURISTIC ALGORITHM FOR EFFICIENCY DETERMINATION OF IN-SITU INDUCTION MOTOR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp1459-1464, March-2018, Available at : http://www.jetir.org/papers/JETIR1803271.pdf




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