Research on Method for Obtaining Time Difference of Localization of Transformer PD Source

Article Preview

Abstract:

Ultrasonic positioning accuracy of transformer partial discharge is not high. The main reason is that it is difficult to obtain accurate time difference of the ultrasonic signals reaching two different sensors, especially when the signal-to-noise ratio is not high enough. To solve this problem, Hilbert-Huang transform (HHT) is applied in signal processing to extract the precise moment, and in this way the precise time difference is easily obtained. The signal-to-noise ratio (SNR) of received signal is low, and even worse PD signal is drowned in the strong interference signal. For this, the method named fast independent component analysis (FastICA) is applied in ultrasonic signal denoising before obtaining the time difference. FastICA is not effective in separating the ultrasonic signal from the separated components and in order to solve the problem, envelope identification method is proposed in this paper. In the method, the upper envelope of the signal waveform is sampled and the average of the sampling points is calculated to extract the ultrasonic signal. The numerical result confirmed the practicality of all the mentioned methods.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2222-2227

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhiyong LI, Zongzhou WEN. Design and realization of a new ultrasonicmonitoring system on transformer partial discharge[J]. Journal of Xi'an Polytechnic University, 2010, 24(1):71-75(In Chinese).

Google Scholar

[2] Lin XING, Chenguo YAO, Caixin SUN. Method of Time Difference Reading Based on Frequency Domain for PD Location in GIS[J]. High Voltage Apparatus, 2011, 47(6):13-18(In Chinese).

Google Scholar

[3] Ting WU. Wireless Multipath Channel Simulation Analysis and Research[D]. Wuhan: Huazhong University of Science and Technology, 2003(In Chinese).

Google Scholar

[4] Guanghou JIN, Qing WANG, Yanqing LI. Propagation of Partial Discharge Ultrasonic Signal in Power Transformer Model[J]. High Voltage Engeering, 2003, 29(9): 14-15(In Chinese).

Google Scholar

[5] Lixing ZHOU. Noise Eliminating Algorithm by Wavelet Packetin On-line HV Transformer PD Detection[J]. High Voltage Engeering, 2001, 27(1):19-21(In Chinese).

Google Scholar

[6] L. Yang, M.D. Judd, C.J. Bennoch. Denoising UHF signal for PD detection in transformers based on wavelet technique[R]. UK: Electrical Insulation and Dielectric Phenomen, (2004).

DOI: 10.1109/ceidp.2004.1364215

Google Scholar

[7] Qing XIE, Lijun ZHANG, Shuyi CHENG. Application of the FastICA Algorithm to PD Ultrasonic Array Signal De-noising[J]. Journal of Electrical Engineering, 2012, 32(18):160-167 (In Chinese).

Google Scholar

[8] Norden E Huang, Samuel Shen. Hilbert-Huang Transform and Its Applications[M]. World Scientific Publishing Co. Pte. Ltd, 2005(In Chinese).

Google Scholar