NDLI: Identification of free conducting particles in transformer oils using PD signals

Content Provider	IEEE Xplore Digital Library
Author	Firuzi, K. Parvin, V. Vakilian, M.
Copyright Year	2015
Description	Author affiliation: Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran (Firuzi, K.; Parvin, V.; Vakilian, M.)
Abstract	Transformers are known as one of the most important equipment in power system transmission and distribution network. Safety of transformer insulation is determined mainly by its insulating oil dielectric strength. A major concern which threaten the withstand strength of a liquid insulation is the presence of particle contamination. One of the best methods to detect any abnormality and insulation weakness inside the transformer insulation is based on partial discharge (PD) measurement. Here, to identify the presence of conducting particles inside the transformer insulating oil, the general routine used for PD recognition is employed. This process involves the following steps: current signal measurement, PD pulse capture, PD signal parameters extraction, signal categorization based on existing data bases, and finally its diagnosis and finding the source of PD. The PD pulse characteristics related to a floating conductive particle, with different shapes and sizes, under quasi-uniform electric field is studied in this paper. These characteristics related to the particles in transformer oil, besides data mining techniques are employed to analyze the recorded PD measured signals in time domain and subsequently to specify the shape and size of particle. PCA feature extraction method is applied on the frequency domain data, then SVM classifier is used to classify the recorded data. Results based on experimental training and testing data indicate that this method using PD signal information provides a 97 % classification success rate.
Starting Page	724
Ending Page	727
File Size	796016
Page Count	4
File Format	PDF
ISSN	21609241
e-ISBN	9781479989034
DOI	10.1109/ICPADM.2015.7295374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-19
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharges Oil insulation Feature extraction Power transformer insulation Support vector machines Shape SVM Classifier Partial discharge PCA Feature Extraction
Content Type	Text
Resource Type	Article

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