Punekar, G.S.Antony, D.Bhavanishanker, T.Nagamani, H.N.Kishore, N.K.2026-02-0620132013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems, IEEE CATCON 2013 - Proceedings, 2013, Vol., , p. 386-390https://doi.org/10.1109/CATCON.2013.6737533https://idr.nitk.ac.in/handle/123456789/32783Using 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.Acoustic Emission(AE)Genetic Algorithm(GA)Partial Discharge (PD) locationPopulation sizeSensor location