Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique

Yasmin Hanum Md Thayoob, Syed Khaleel Ahmed, Chua Chun Piau, Chong Yu Ping, Yogendra Balasubramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Partial Discharge (PD) detection is one of the important methods used to evaluate the insulation condition of in-service high voltage (HV) electrical equipment. On-site PD detection methods are preferred compared to other methods as non-intrusive sensors are easier to install and have no interruptions on the operation. An electrical PD testing utilizing High Frequency Current Transformer (HFCT) installed at the ground terminal of the in-service instrument transformer was used to detect partial discharge activities. However, the limitation of this method is the measurement often lacks of accuracy due to interference in the measured PD waveforms. Therefore, such PD signals are hard to be distinguished from the stochastic noise pulses. Hence, the characteristics of PD signals and interference signals are studied in the Phase Resolved Partial Discharge (PRPD) pattern in order to identify the extent of PD occurrence in the signals. The discharge magnitude could increase significantly because of the noise signals superposed with PD signals. Therefore a method that can remove high magnitude noise will be proposed by using statistical signal processing technique.

Original languageEnglish
Title of host publicationIEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages355-360
Number of pages6
ISBN (Electronic)9781479989966
DOIs
Publication statusPublished - 17 Feb 2016
Event4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Kuala Lumpur, Malaysia
Duration: 19 Oct 201521 Oct 2015

Publication series

NameIEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings

Other

Other4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015
CountryMalaysia
CityKuala Lumpur
Period19/10/1521/10/15

Fingerprint

Electric instrument transformers
Partial discharges
Signal processing
Signal interference
Insulation

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Signal Processing

Cite this

Thayoob, Y. H. M., Khaleel Ahmed, S., Piau, C. C., Ping, C. Y., & Balasubramaniam, Y. (2016). Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings (pp. 355-360). [7412217] (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIPA.2015.7412217
Thayoob, Yasmin Hanum Md ; Khaleel Ahmed, Syed ; Piau, Chua Chun ; Ping, Chong Yu ; Balasubramaniam, Yogendra. / Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique. IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 355-360 (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings).
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abstract = "Partial Discharge (PD) detection is one of the important methods used to evaluate the insulation condition of in-service high voltage (HV) electrical equipment. On-site PD detection methods are preferred compared to other methods as non-intrusive sensors are easier to install and have no interruptions on the operation. An electrical PD testing utilizing High Frequency Current Transformer (HFCT) installed at the ground terminal of the in-service instrument transformer was used to detect partial discharge activities. However, the limitation of this method is the measurement often lacks of accuracy due to interference in the measured PD waveforms. Therefore, such PD signals are hard to be distinguished from the stochastic noise pulses. Hence, the characteristics of PD signals and interference signals are studied in the Phase Resolved Partial Discharge (PRPD) pattern in order to identify the extent of PD occurrence in the signals. The discharge magnitude could increase significantly because of the noise signals superposed with PD signals. Therefore a method that can remove high magnitude noise will be proposed by using statistical signal processing technique.",
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Thayoob, YHM, Khaleel Ahmed, S, Piau, CC, Ping, CY & Balasubramaniam, Y 2016, Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique. in IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings., 7412217, IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 355-360, 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015, Kuala Lumpur, Malaysia, 19/10/15. https://doi.org/10.1109/ICSIPA.2015.7412217

Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique. / Thayoob, Yasmin Hanum Md; Khaleel Ahmed, Syed; Piau, Chua Chun; Ping, Chong Yu; Balasubramaniam, Yogendra.

IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 355-360 7412217 (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Thayoob YHM, Khaleel Ahmed S, Piau CC, Ping CY, Balasubramaniam Y. Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 355-360. 7412217. (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings). https://doi.org/10.1109/ICSIPA.2015.7412217