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oaioai:pure.atira.dk:publications/07135cc2-f396-4c05-ae26-debb780d0222

Interpretation of partial discharge activity in the presence of harmonics

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Publication date
1 January 2010
Publisher
Doi

    Abstract

    Recent work has identified that circumstances of equipment operation can radically change condition monitoring data. This contribution investigates the significance of considering circumstance monitoring on the diagnostic interpretation of such condition monitoring data. Electrical treeing partial discharge data have been subjected to a data mining investigation, providing a platform for classification of harmonic influenced partial discharge patterns. The Total Harmonic Distortion (THD) index was varied to a maximum of 40%. The results show progressive development for interpretation of condition monitoring data, improving the asset manager's holistic view of an asset's health. ©2010 IEEE

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    Last time updated on 01/02/2017

    This paper was published in The University of Manchester - Institutional Repository.

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