Improvements in AEPD location identification by removing outliers and post processing

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DC Field	Value	Language
dc.contributor.author	Antony, D.
dc.contributor.author	Punekar, G.S.
dc.date.accessioned	2020-03-30T10:18:19Z	-
dc.date.available	2020-03-30T10:18:19Z	-
dc.date.issued	2016
dc.identifier.citation	2015 International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2015 - Proceedings, 2016, Vol., , pp.66-69	en_US
dc.identifier.uri	http://idr.nitk.ac.in/jspui/handle/123456789/8273	-
dc.description.abstract	The mathematical model of an Acoustic Emission Partial Discharge (AEPD) system is solved in the literature using Newton's method with redundant number of sensors (more than 4; eight in this case). The system for numerical experiments consists of eight sensors. The algorithm is implemented using three different initial guesses. For the calculated PD source coordinates, histograms are plotted. After finding the mean and standard deviation, coordinate values which are lying outside different fractions of sigma are removed. The average of remaining set is calculated and it is found that, the accuracy of location identification can be greatly improved. � 2015 IEEE.	en_US
dc.title	Improvements in AEPD location identification by removing outliers and post processing	en_US
dc.type	Book chapter	en_US
Appears in Collections:	2. Conference Papers

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