Interpretation of partial discharge activity in the presence of harmonics

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

doi:10.1109/ICSD.2010.5567893

Interpretation of partial discharge activity in the presence of harmonics

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

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010\|Proc. IEEE Int. Conf. Solid Dielectr., ICSD
DOIs	https://doi.org/10.1109/ICSD.2010.5567893
Publication status	Published - 2010
Event	2010 IEEE International Conference on Solid Dielectrics, ICSD 2010 - Potsdam Duration: 1 Jul 2010 → …

Conference

Conference	2010 IEEE International Conference on Solid Dielectrics, ICSD 2010
City	Potsdam
Period	1/07/10 → …

Keywords

Artificial intelligence
Harmonic analysis
Partial discharges

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10.1109/ICSD.2010.5567893

Cite this

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title = "Interpretation of partial discharge activity in the presence of harmonics",

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. {\textcopyright}2010 IEEE.",

keywords = "Artificial intelligence, Harmonic analysis, Partial discharges",

author = "S. Bahadoorsingh and Rowland, {S. M.} and Catterson, {V. M.} and Rudd, {S. E.} and McArthur, {S. D J}",

year = "2010",

doi = "10.1109/ICSD.2010.5567893",

language = "English",

isbn = "9781424479443",

booktitle = "Proceedings of the 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010|Proc. IEEE Int. Conf. Solid Dielectr., ICSD",

note = "2010 IEEE International Conference on Solid Dielectrics, ICSD 2010 ; Conference date: 01-07-2010",

}

Bahadoorsingh, S, Rowland, SM, Catterson, VM, Rudd, SE & McArthur, SDJ 2010, Interpretation of partial discharge activity in the presence of harmonics. in Proceedings of the 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010|Proc. IEEE Int. Conf. Solid Dielectr., ICSD. 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010, Potsdam, 1/07/10. https://doi.org/10.1109/ICSD.2010.5567893

Interpretation of partial discharge activity in the presence of harmonics. / Bahadoorsingh, S.; Rowland, S. M.; Catterson, V. M. et al.
Proceedings of the 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010|Proc. IEEE Int. Conf. Solid Dielectr., ICSD. 2010.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Interpretation of partial discharge activity in the presence of harmonics

AU - Bahadoorsingh, S.

AU - Rowland, S. M.

AU - Catterson, V. M.

AU - Rudd, S. E.

AU - McArthur, S. D J

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Harmonic analysis

KW - Partial discharges

U2 - 10.1109/ICSD.2010.5567893

DO - 10.1109/ICSD.2010.5567893

M3 - Conference contribution

SN - 9781424479443

BT - Proceedings of the 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010|Proc. IEEE Int. Conf. Solid Dielectr., ICSD

T2 - 2010 IEEE International Conference on Solid Dielectrics, ICSD 2010

Y2 - 1 July 2010

ER -

Interpretation of partial discharge activity in the presence of harmonics

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