Signal processing of PD measurements to predict arcing faults in MV switchgears

G. Amjad Hussain, L. Kumpulainen, M. Lehtonen, Murtaza Hashmi, M. Shafiq

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

Arcing faults in MV switchgear cause serious hazard to personnel, significant damage to equipment, and often serious process interruptions. Many of the faults develop slowly, e.g. because of insulation degradation or loose connection. An interesting research question is whether these developing faults could be detected before they escalate into devastating high-power faults. Detection of partial discharges (PD) or monitoring of temperature has been suggested in on-line monitoring systems. In this research, a switchgear panel has been subjected to PD in the laboratory and measurements have been captured by different sensors and recorded by high frequency oscilloscope. Generally, the on-line signals are suppressed by high frequency noise, therefore, the de-noising of PD measurement is of paramount importance to get reliable arcing fault prediction results. The discrete wavelet transform (DWT) to de-noise such PD signals has been employed in this paper. Time domain and frequency domain comparisons of original and de-noised PD signal reveal the significance of this technique for arcing fault prediction in medium voltage (MV) switchgears.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology, ICIT 2013
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages916-921
ISBN (Electronic)978-1-4673-4569-9
ISBN (Print)978-1-4673-4567-5
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Industrial Technology, ICIT 2013 - Cape Town, South Africa
Duration: 25 Feb 201328 Feb 2013

Conference

ConferenceIEEE International Conference on Industrial Technology, ICIT 2013
Abbreviated titleICIT 2013
CountrySouth Africa
CityCape Town
Period25/02/1328/02/13

Fingerprint

Electric switchgear
Partial discharges
Signal processing
Electric potential
Monitoring
Discrete wavelet transforms
Insulation
Hazards
Personnel
Degradation
Sensors
Temperature

Keywords

  • arcing
  • discrete wavelet transform (DTW)
  • partila discharge (PD)
  • signal processing
  • switchgear

Cite this

Amjad Hussain, G., Kumpulainen, L., Lehtonen, M., Hashmi, M., & Shafiq, M. (2013). Signal processing of PD measurements to predict arcing faults in MV switchgears. In Proceedings of the IEEE International Conference on Industrial Technology, ICIT 2013 (pp. 916-921). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICIT.2013.6505793
Amjad Hussain, G. ; Kumpulainen, L. ; Lehtonen, M. ; Hashmi, Murtaza ; Shafiq, M. / Signal processing of PD measurements to predict arcing faults in MV switchgears. Proceedings of the IEEE International Conference on Industrial Technology, ICIT 2013. IEEE Institute of Electrical and Electronic Engineers , 2013. pp. 916-921
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abstract = "Arcing faults in MV switchgear cause serious hazard to personnel, significant damage to equipment, and often serious process interruptions. Many of the faults develop slowly, e.g. because of insulation degradation or loose connection. An interesting research question is whether these developing faults could be detected before they escalate into devastating high-power faults. Detection of partial discharges (PD) or monitoring of temperature has been suggested in on-line monitoring systems. In this research, a switchgear panel has been subjected to PD in the laboratory and measurements have been captured by different sensors and recorded by high frequency oscilloscope. Generally, the on-line signals are suppressed by high frequency noise, therefore, the de-noising of PD measurement is of paramount importance to get reliable arcing fault prediction results. The discrete wavelet transform (DWT) to de-noise such PD signals has been employed in this paper. Time domain and frequency domain comparisons of original and de-noised PD signal reveal the significance of this technique for arcing fault prediction in medium voltage (MV) switchgears.",
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Amjad Hussain, G, Kumpulainen, L, Lehtonen, M, Hashmi, M & Shafiq, M 2013, Signal processing of PD measurements to predict arcing faults in MV switchgears. in Proceedings of the IEEE International Conference on Industrial Technology, ICIT 2013. IEEE Institute of Electrical and Electronic Engineers , pp. 916-921, IEEE International Conference on Industrial Technology, ICIT 2013, Cape Town, South Africa, 25/02/13. https://doi.org/10.1109/ICIT.2013.6505793

Signal processing of PD measurements to predict arcing faults in MV switchgears. / Amjad Hussain, G.; Kumpulainen, L.; Lehtonen, M.; Hashmi, Murtaza; Shafiq, M.

Proceedings of the IEEE International Conference on Industrial Technology, ICIT 2013. IEEE Institute of Electrical and Electronic Engineers , 2013. p. 916-921.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - Arcing faults in MV switchgear cause serious hazard to personnel, significant damage to equipment, and often serious process interruptions. Many of the faults develop slowly, e.g. because of insulation degradation or loose connection. An interesting research question is whether these developing faults could be detected before they escalate into devastating high-power faults. Detection of partial discharges (PD) or monitoring of temperature has been suggested in on-line monitoring systems. In this research, a switchgear panel has been subjected to PD in the laboratory and measurements have been captured by different sensors and recorded by high frequency oscilloscope. Generally, the on-line signals are suppressed by high frequency noise, therefore, the de-noising of PD measurement is of paramount importance to get reliable arcing fault prediction results. The discrete wavelet transform (DWT) to de-noise such PD signals has been employed in this paper. Time domain and frequency domain comparisons of original and de-noised PD signal reveal the significance of this technique for arcing fault prediction in medium voltage (MV) switchgears.

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Amjad Hussain G, Kumpulainen L, Lehtonen M, Hashmi M, Shafiq M. Signal processing of PD measurements to predict arcing faults in MV switchgears. In Proceedings of the IEEE International Conference on Industrial Technology, ICIT 2013. IEEE Institute of Electrical and Electronic Engineers . 2013. p. 916-921 https://doi.org/10.1109/ICIT.2013.6505793