Transformer incipient fault identification using depolarisation current ratio index analysis technique
Preventive tests and diagnosis of in-service power transformer are important for early fault prediction and increased reliability of electricity supply. However, some existing diagnostic techniques require transformer outage before the measurement can be performed and need expert knowledge and exper...
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my.utm.770172018-04-30T14:34:41Z http://eprints.utm.my/id/eprint/77017/ Transformer incipient fault identification using depolarisation current ratio index analysis technique Talib, M. A. Muhamad, N. A. Malek, Z. A. TK Electrical engineering. Electronics Nuclear engineering Preventive tests and diagnosis of in-service power transformer are important for early fault prediction and increased reliability of electricity supply. However, some existing diagnostic techniques require transformer outage before the measurement can be performed and need expert knowledge and experiences to interpret the measurement results. Other measurement techniques such as chemical analyses of insulating oil may cause significant variance to measurement results due to different practices in oil sampling, storage, handling and transportation of oil. A cost-effective measuring technique, which is simple, providing fast and an accurate measurement results, is therefore highly required. The extended application of Polarisation and Depolarisation (PDC) measurement for characterisation of different faults conditions in-service power transformer has been presented in this paper. Earlier studies on polarisation and depolarisation current of oil samples from in-service power transformer shows that depolarisation has provided significant information about the change of material properties due to faults in power transformer. In this paper, a new approach based on Depolarisation Current Ratio Index (DRI) was developed for identifying and classifying different transformer fault conditions. The DRI at time interval of 4s to 100s was analysed and the results show that DRI of depolarisation current between 5/100s and 10/100s provides higher correlation on the incipient faults in power transformer. Universiti Putra Malaysia Press 2017 Article PeerReviewed Talib, M. A. and Muhamad, N. A. and Malek, Z. A. (2017) Transformer incipient fault identification using depolarisation current ratio index analysis technique. Pertanika Journal of Science and Technology, 25 (S). pp. 267-274. ISSN 0128-7680 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029614871&partnerID=40&md5=7312b707d9bb8dbb69c2f14c924252c5 |
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Preventive tests and diagnosis of in-service power transformer are important for early fault prediction and increased reliability of electricity supply. However, some existing diagnostic techniques require transformer outage before the measurement can be performed and need expert knowledge and experiences to interpret the measurement results. Other measurement techniques such as chemical analyses of insulating oil may cause significant variance to measurement results due to different practices in oil sampling, storage, handling and transportation of oil. A cost-effective measuring technique, which is simple, providing fast and an accurate measurement results, is therefore highly required. The extended application of Polarisation and Depolarisation (PDC) measurement for characterisation of different faults conditions in-service power transformer has been presented in this paper. Earlier studies on polarisation and depolarisation current of oil samples from in-service power transformer shows that depolarisation has provided significant information about the change of material properties due to faults in power transformer. In this paper, a new approach based on Depolarisation Current Ratio Index (DRI) was developed for identifying and classifying different transformer fault conditions. The DRI at time interval of 4s to 100s was analysed and the results show that DRI of depolarisation current between 5/100s and 10/100s provides higher correlation on the incipient faults in power transformer. |
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Article |
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Talib, M. A. Muhamad, N. A. Malek, Z. A. |
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Talib, M. A. Muhamad, N. A. Malek, Z. A. |
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Talib, M. A. |
title |
Transformer incipient fault identification using depolarisation current ratio index analysis technique |
title_short |
Transformer incipient fault identification using depolarisation current ratio index analysis technique |
title_full |
Transformer incipient fault identification using depolarisation current ratio index analysis technique |
title_fullStr |
Transformer incipient fault identification using depolarisation current ratio index analysis technique |
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Transformer incipient fault identification using depolarisation current ratio index analysis technique |
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transformer incipient fault identification using depolarisation current ratio index analysis technique |
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Universiti Putra Malaysia Press |
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2017 |
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http://eprints.utm.my/id/eprint/77017/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029614871&partnerID=40&md5=7312b707d9bb8dbb69c2f14c924252c5 |
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13.211869 |