Improvements in AEPD location identification by removing outliers and post processing

dc.contributor.authorAntony, D.
dc.contributor.authorPunekar, G.S.
dc.date.accessioned2020-03-30T10:18:19Z
dc.date.available2020-03-30T10:18:19Z
dc.date.issued2016
dc.description.abstractThe 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.identifier.citation2015 International Conference on Condition Assessment Techniques in Electrical Systems, CATCON 2015 - Proceedings, 2016, Vol., , pp.66-69en_US
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/8273
dc.titleImprovements in AEPD location identification by removing outliers and post processingen_US
dc.typeBook chapteren_US

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