Genetic algorithm in location identification of AEPD source: Some aspects

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dc.contributor.authorPunekar, G.S.
dc.contributor.authorAntony, D.
dc.contributor.authorBhavanishanker, T.
dc.contributor.authorNagamani, H.N.
dc.contributor.authorKishore, N.K.
dc.date.accessioned2026-02-06T06:40:12Z
dc.date.issued2013
dc.description.abstractUsing the experimental data obtained from an Acoustic Emission Partial Discharge (AEPD) system, efforts are made to locate the source of Partial discharge (PD) with a transformer tank. The AEPD data with 8 sensors (available in the literature) is numerically experimented with a Genetic Algorithm, although minimum of 4 sensors only are necessary for identifying the location. With eight sensors, four sensors considered at a time, form 70 ( 8C<inf>4</inf>) combination of sensors. The effect, implication and usage of superfluous sensor data in identifying the location with GA is analyzed and reported. Results are compared with Newton's method. © 2013 IEEE.
dc.identifier.citation2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems, IEEE CATCON 2013 - Proceedings, 2013, Vol., , p. 386-390
dc.identifier.urihttps://doi.org/10.1109/CATCON.2013.6737533
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/32783
dc.publisherIEEE Computer Society
dc.subjectAcoustic Emission(AE)
dc.subjectGenetic Algorithm(GA)
dc.subjectPartial Discharge (PD) location
dc.subjectPopulation size
dc.subjectSensor location
dc.titleGenetic algorithm in location identification of AEPD source: Some aspects

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