Image processing based time-frequency domain reflectometry for estimating the fault location close to the applied signal point

Jong Min Jeong, Chun Ku Lee, Tae Sung Yoon, Jin Bae Park

Research output: Contribution to journalArticle


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.

Original languageEnglish
Pages (from-to)1683-1689
Number of pages7
JournalTransactions of the Korean Institute of Electrical Engineers
Issue number12
Publication statusPublished - 2014 Dec 1


All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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