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Transformer incipient fault identification using depolarisation current ratio index analysis technique

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

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Abstract

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.

Item Type:Article
Uncontrolled Keywords:Depolarisation current, Fault analysis, Ratio index analysis, Transformer
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:77017
Deposited By: Fazli Masari
Deposited On:30 Apr 2018 14:34
Last Modified:30 Apr 2018 14:34

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