Interpretation of partial discharge activity in the presence of harmonics

Author

Bahadoorsingh, S. ; Rowland, S.M. ; Catterson, V.M. ; Rudd, S.E. ; McArthur, S.D.J.

Author_Institution

Sch. of Electron. & Electr. Eng., Univ. of Manchester, Manchester, UK

fYear

2010

fDate

4-9 July 2010

Firstpage

1

Lastpage

4

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.

Keywords

condition monitoring; data mining; electrical engineering computing; harmonic distortion; partial discharges; trees (electrical); THD index; condition monitoring; data mining; electrical treeing partial discharge data; harmonic classification platform; partial discharge activity interpretation; total harmonic distortion index; Accuracy; Harmonic analysis; Insulation; Monitoring; Partial discharges; Power system harmonics; Training; artificial intelligence; harmonic analysis; partial discharges;

fLanguage

English

Publisher

ieee

Conference_Titel

Solid Dielectrics (ICSD), 2010 10th IEEE International Conference on

Conference_Location

Potsdam

Print_ISBN

978-1-4244-7945-0

Electronic_ISBN

978-1-4244-7943-6

Type

conf

DOI

10.1109/ICSD.2010.5567893

Filename

5567893