Research Progress of Wavelet Denoising Method of Transformer Partial Discharge Signal

Abstract:

Wavelet analysis has been widely used in the denoising of partial discharge signal of transformer. This paper introduces the main method of partial discharge signal denoising, which focuses on the studying of wavelet denoising methods. The main wavelet denoising methods are introduced herein including wavelet decomposition and reconstruction method, wavelet thresholding method, the translation invariant wavelet thresholding method, the wavelet denoising based on modulus maxima method, and the most widely used wavelet thresholding is introduced primarily. The analysis of their advantages and disadvantages is helpful to choose a proper wavelet denoising method.

• Periodical: Advanced Materials Research (Volume 571)
• Pages: 584-588
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.571.584
• Online since: September 2012
• Authors: Ying Zhang, Fu Cheng You
• Keywords: De-Noising, Partial Discharge (PD), Threshold, Transformer, Wavelet Transform (WT)

References

[1] Tan Ping, Cai Zixing: Real time Kalman filter based on non-decimated Haar algorithm, Journal of Central South University (Science and Technology), Vol . 4 2, No. 12, pp.3760-3764, Dec. (2011).

[2] Stephane G. Mallat: A Theory for Multiresolution Signal Decomposition: The Wavelet Representation. Department of Computer & Information Science. (1987).

[3] Mao Yizhi, Li Song, and Li Zhanqiang: Research on Denoising Method of Partial Discharge Signal of Transformer, TRANSFORMER. Vol. 48, No. 3 (2011), p.47–50.

[4] Garcia D Z G, Toledo M B F: A Fault Tolerant Web Service Architecture, 5th Latin American Web Congress, pp.42-49, (2007).

DOI: 10.1109/la-web.2007.16

[5] Ye Chongyuan, Huang Yongdong: New improvement of wavelet threshold denoising algorithm. Computer Engineering and Applications, Computer Engineering and Applicationss, Vol 47, No. 12(2011), pp.141-145.

[6] Wei Liqiang: Research on signal denoising based on wavelet transform, Hunan University, Jun (2007).

[7] Zhang Weiqiang, Xu Chen: A Denoising Algorithm of Wavelet Threshold Based on Translation invariance, Modern Electronics Technique, Vol. 6 (2003), pp.29-31.

[8] Qi Zefeng, Li Weiguo and Tan shuntao: Algoithm of Partial Discharge Signal Reconstruction Based on Modulus Maximum Wavelet Domain, Proceedings of the CSEE. Vol. 22, No. 11 (2002), pp.28-30.

[9] Peng Yuhua: Wavelet transform and engineering application, Science Press, (2005).

[10] Bi Weimin: Study on Denoising Methods with Wavelet Packet and Pattern Recognition by Statistical Features for On-line Transformer Partial Discharge Monitoring, Chongqing University, (2003).