Stochastic noise removal on partial discharge measurement for transformer insulation diagnosis

Chan, Jerrery C., Ma, Hui, Saha, Tapan K. and Ekanayake, Chandima (2014). Stochastic noise removal on partial discharge measurement for transformer insulation diagnosis. In: Proceedings of PES General Meeting: Conference and Exposition 2014. 2014 IEEE PES General Meeting: Conference and Expositio, National Harbor, MD, United States, (). 27-31 July 2014. doi:10.1109/PESGM.2014.6938913

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Author Chan, Jerrery C.
Ma, Hui
Saha, Tapan K.
Ekanayake, Chandima
Title of paper Stochastic noise removal on partial discharge measurement for transformer insulation diagnosis
Conference name 2014 IEEE PES General Meeting: Conference and Expositio
Conference location National Harbor, MD, United States
Conference dates 27-31 July 2014
Convener Institute of Electrical and Electronics Engineers
Proceedings title Proceedings of PES General Meeting: Conference and Exposition 2014
Journal name 2014 Ieee Pes General Meeting - Conference
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2014
Sub-type Fully published paper
DOI 10.1109/PESGM.2014.6938913
Open Access Status
ISBN 9781479964154
ISSN 1944-9925
Volume 2014-October
Issue October
Total pages 5
Collection year 2015
Language eng
Abstract/Summary Measurement of partial discharge (PD) paves a way for transformer insulation diagnosis. However, noise always interferes with PD signals and can jeopardize the diagnostic reliability. Therefore, it is necessary to adopt signal processing techniques to remove noise from collected signals. Among various types of noise, stochastic noise is considerably difficult to remove due to its similarity with PD signals. This paper proposes an effective method, which adopts fractal dimension and entropy analyses to remove stochastic noise. To verify the proposed method, PD measurements have been performed on a number of experimental models and a substation transformer. Results prove that PD signals can be extracted while the noise can be eliminated from collected noise-corrupted signals by using the proposed method. A comparison with a wavelet transform-based noise removal method has also been made in the paper.
Keyword Discharges (electric)
Entropy
Fractals
Noise
Partial discharges
Stochastic processes
Wavelet transforms
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Mon, 09 Mar 2015, 14:21:11 EST by Naomi Epstein on behalf of School of Information Technol and Elec Engineering