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Title: Genetic algorithm in location identification of AEPD source: Some aspects
Authors: Punekar, G.S.
Antony, D.
Bhavanishanker, T.
Nagamani, H.N.
Kishore, N.K.
Issue Date: 2013
Citation: 2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems, IEEE CATCON 2013 - Proceedings, 2013, Vol., , pp.386-390
Abstract: Using 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 ( 8C4) 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.
Appears in Collections:2. Conference Papers

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