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Identification of free conducting particles in transformer oils using PD signals

Firuzi, K ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/ICPADM.2015.7295374
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. 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
  6. Keywords:
  7. PCA Feature Extraction ; Classification (of information) ; Data mining ; Electric field effects ; Electric fields ; Electric power transmission ; Electric transformer testing ; Extraction ; Feature extraction ; Frequency domain analysis ; Insulating oil ; Insulation ; Oil filled transformers ; Partial discharges ; Particle size analysis ; Power transformers ; Time domain analysis ; Free conducting particles ; Partial discharge measurements ; Particle contamination ; Quasi-uniform electric fields ; SVM classifiers ; Transformer insulation ; Transmission and distribution ; Dielectric materials
  8. Source: Proceedings of the IEEE International Conference on Properties and Applications of Dielectric Materials, 19 July 2015 through 22 July 2015 ; Volume 2015-October , July , 2015 , Pages 724-727 ; 9781479989034 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7295374