Partial Discharges Identification and Localisation within Transformer Windings
This study proposes a technique that is based on the hypothesis that distinct PD sources have unique PD waveform characteristics at the point of measurement. Two different forms of PD pulses are injected into a model transformer winding at different points and by using wideband radio frequency curre...
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Ali N.H.N.; Ariffin A.M.; Rapisarda P.; Lewin P.L. |
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Ali N.H.N.; Ariffin A.M.; Rapisarda P.; Lewin P.L. 2-s2.0-85097998275 Partial Discharges Identification and Localisation within Transformer Windings 2020 IEEE Transactions on Dielectrics and Electrical Insulation 27 6 10.1109/TDEI.2020.008706 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097998275&doi=10.1109%2fTDEI.2020.008706&partnerID=40&md5=8b8af86eca8d0496aeb9825f0ef9f8bd This study proposes a technique that is based on the hypothesis that distinct PD sources have unique PD waveform characteristics at the point of measurement. Two different forms of PD pulses are injected into a model transformer winding at different points and by using wideband radio frequency current transformers (RFCTs), measurement data are obtained by positioning the RFCTs at the neutral-to-earth point of the winding and the bushing tap-point-to-earth. Mathematical morphology energy analysis using ordering points to identify clustering structure and signal cross correlation methods are utilized to extract information from the raw measurement data. Assessment of the relative performance of the analytical methods are examined and characterized in this study. The proposed approach allows automatic separation of PD data by source and localization of source site within the winding. © 1994-2012 IEEE. Institute of Electrical and Electronics Engineers Inc. 10709878 English Article |
| author |
2-s2.0-85097998275 |
| spellingShingle |
2-s2.0-85097998275 Partial Discharges Identification and Localisation within Transformer Windings |
| author_facet |
2-s2.0-85097998275 |
| author_sort |
2-s2.0-85097998275 |
| title |
Partial Discharges Identification and Localisation within Transformer Windings |
| title_short |
Partial Discharges Identification and Localisation within Transformer Windings |
| title_full |
Partial Discharges Identification and Localisation within Transformer Windings |
| title_fullStr |
Partial Discharges Identification and Localisation within Transformer Windings |
| title_full_unstemmed |
Partial Discharges Identification and Localisation within Transformer Windings |
| title_sort |
Partial Discharges Identification and Localisation within Transformer Windings |
| publishDate |
2020 |
| container_title |
IEEE Transactions on Dielectrics and Electrical Insulation |
| container_volume |
27 |
| container_issue |
6 |
| doi_str_mv |
10.1109/TDEI.2020.008706 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097998275&doi=10.1109%2fTDEI.2020.008706&partnerID=40&md5=8b8af86eca8d0496aeb9825f0ef9f8bd |
| description |
This study proposes a technique that is based on the hypothesis that distinct PD sources have unique PD waveform characteristics at the point of measurement. Two different forms of PD pulses are injected into a model transformer winding at different points and by using wideband radio frequency current transformers (RFCTs), measurement data are obtained by positioning the RFCTs at the neutral-to-earth point of the winding and the bushing tap-point-to-earth. Mathematical morphology energy analysis using ordering points to identify clustering structure and signal cross correlation methods are utilized to extract information from the raw measurement data. Assessment of the relative performance of the analytical methods are examined and characterized in this study. The proposed approach allows automatic separation of PD data by source and localization of source site within the winding. © 1994-2012 IEEE. |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| issn |
10709878 |
| language |
English |
| format |
Article |
| accesstype |
|
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1828987871519834112 |