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An efficient partial discharge pattern recognition method using texture analysis for transformer defect models
, Article International Transactions on Electrical Energy Systems ; Volume 28, Issue 7 , February , 2018 ; 20507038 (ISSN) ; Saniei, M ; Vakilian, M ; Mortazavi, S. S ; Parvin Darabad, V ; Sharif University of Technology
John Wiley and Sons Ltd
2018
Abstract
Partial discharge (PD) measurement is one of the best methods for condition monitoring of transformers. In this paper, we use 5 different types of defects as follows: scratch on winding insulation, bubble in oil, moisture in insulation paper, a very small free metal particle in the transformer tank, and a fixed sharp metal point on the transformer tank, for our PD-related studies. Each type of defect is implemented into 1 of the 5 identical transformer models, which had been developed in the authors' recent work. The continuous wavelet transform is applied to each related measured time-domain PD signals. This process results in an image, for each PD pulse in the time-frequency domain. Using...
DC partial discharge characteristics for corona, surface and void discharges
, Article 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 260-263 ; 9781479989034 (ISBN) ; Javadinezhad, R ; Vakilian, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
Measurement of partial discharges (PDs) current pulses is found to be one of the most efficient methods to evaluate the high voltage electrical equipment insulation condition. Generators, transformers, cables and transmission lines are especially tested for the presence of PDs. In AC, the solution is well known. Phase-resolved method can be used to detect and determine partial discharge activities. Although phase-resolved method works well under AC voltage; due to lack of a cyclic variation in DC voltage and current this cannot be used when studying partial discharges in DC voltage systems. Therefore, other methods are employed to interpret the partial discharge in DC. For this purpose, the...
Partial discharges pattern recognition of transformer defect model by LBP & HOG features
, Article IEEE Transactions on Power Delivery ; 2018 ; 08858977 (ISSN) ; Vakilian, M ; Phung, B. T ; Blackburn, T. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
Partial discharge (PD) measurement and identification have great importance to condition monitoring of power transformers. In this paper a new method for recognition of single and multi-source of PD based on extraction of high level image features have been introduced. A database, involving 365 samples of phase-resolved PD (PRPD) data, is developed by measurement carried out on transformer artificial defect models (having different sizes of defect) under a specific applied voltage, to be used for proposed algorithm validation. In the first step, each set of PRPD data is converted into grayscale images to represent different PD defects. Two “image feature extraction” methods, the Local Binary...