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http://dx.doi.org/10.5370/KIEE.2014.63.12.1683

Image Processing Based Time-Frequency Domain Reflectometry for Estimating the Fault Location Close to the Applied Signal Point  

Jeong, Jong Min (Department of Electrical and Electronic Engineering, Yonsei University)
Lee, Chun Ku (Department of Electrical and Electronic Engineering, Yonsei University)
Yoon, Tae Sung (Department of Electrical Engineering, Changwon National University)
Park, Jin Bae (Department of Electrical and Electronic Engineering, Yonsei University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.12, 2014 , pp. 1683-1689 More about this Journal
Abstract
In this paper, we propose an image processing based time-frequency domain reflectometry(TFDR) in order to estimate the fault location of a cable. The Wigner-Ville distribution is used for analysis in both the time domain and the frequency domain when the conventional TFDR estimates the fault location in a cable. However, the Winger-Ville distribution is a bi-linear function, and hence the cross-term is occurred. The conventional TFDR cannot estimate the accurate fault location due to the cross-term in case the fault location is close to the position where the reference signal is applied to the cable. The proposed method can reduce the cross-term effectively using binarization and morphological image processing, and can estimate the fault location more accurately using the template matching based cross correlation compared to the conventional TFDR. To prove the performance of the proposed method, the actual experiments are carried out in some cases.
Keywords
Fault localization; Time-frequency domain reflectometry; Image processing; Wigner-Ville distribution; Cross-term;
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1 Kang Ming-Cai, Wei Yang, Zhang Jun-Fangm, Hu Guang, and Yingning Qiu, "Power cable fault location based on mathematical morphology and wavelet theory", International Conference on Sustainable Power Generation and Supply, pp. 157-162, 2012.
2 C. K. Lee, J. B. Park, Y. J. Shin, and T. S. Yoon, "High resolution LFMCW radar system using model-based frequency estimation in cable fault localization", The Institute of Electronics, Information and Communication Engineers Electronics Express, vol. 11, no. 1, pp. 1-6, 2013.
3 Y. Ohki, T. Yamada, and N. Hirai, "Diagnosis of Cable Aging by Broadband Impedance Spectroscopy", Annual Report Conference on Electrical Insulation and Dielectric Phenomena, pp. 24-27, 2011.
4 Kang Ming-Cai, Wei Yang, Zhang Jun-Fangm, Hu Guang, and Yingning Qiu, "Power cable fault location based on mathematical morphology and wavelet theory", International Conference on Sustainable Power Generation and Supply, pp. 157-162, 2012.
5 Q. Shi, and O. Kanoun, "Detection and location of single cable fault by impedance spectroscopy", Instrumentation and Measurement Technology Conference Proceedings, pp. 595-599, 2014.
6 Jianhui Song, Yang Yu, and Hongwei Gao, "Cable Length Measurement Systems Based on Time Domain Reflectometry", Advanced in Computer Science, Environment, Ecoinformatics, and Education Communications in Computer and Information Science, vol. 214, pp. 396-401, 2011.
7 Y. J. Shin, E.J. Powers, T. S. Choe, C. Y. Hong, E. S. Song, J. G. Yook, and J. B. Park, "Application of Time-Frequency Domain Reflectometry for Detection and Localization of a Fault on a Coaxial Cable", IEEE Transactions on Instrumentation and Measurement, vol. 54, no. 6, pp. 2493-2500, 2005.   DOI   ScienceOn
8 J. Wang, PEC. Stone, D. Coats, Y. J. Shin, "Health Monitoring of Power Cable via Joint Time-Frequency Domain Reflectometry", IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 3, pp. 1047-1053, 2011.   DOI   ScienceOn
9 S. H. Lee, J. B. Park, and Y. H. Choi, "Measurement of load impedance in power cables using wavelet transform-based time-frequency domain reflectometry", Measurement Science and Technology, vol. 24, no. 9, pp. 1-9, 2013.
10 R. B. Pachori, and S. Paradip, "A new technique to reduce cross terms in the Wigner distribution", Digital Signal Processing, vol. 17, no. 2, pp. 466-474, 2007.   DOI   ScienceOn
11 Y. K. Park, and Y. H. Kim, "A method to minimise the cross-talk of the Wigner-Ville distribution", Mechanical systems and signal processing, vol. 11, no. 4, pp. 547-559, 1997.   DOI   ScienceOn
12 C. Furse, Y. C. Chung, R. Dangol, M. Nielsen, G. Mabey, and R. Woodward, "Frequency-Domain Reflectometry for on-Board Testing of Aging Aircraft Wiring", IEEE Transactions on Electromagnetic Compatibility, vol. 45, no. 2, pp. 306-315, 2003.   DOI   ScienceOn