Application of Time-Frequency Domain Reflectometry for Detection and Localization of a Fault on a Coaxial Cable

Shin, Yong-June; Powers, E.J.; Choe, Tok Son; Hong, ChanYoung; Song, Eunseok; Yook, Jong‐Gwan; Park, Jin Bae

doi:10.1109/tim.2005.858115

Cited by 201 publications

(93 citation statements)

References 13 publications

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“…그리고 인가신호와 반사신호의 상관계수의 최댓값들 의 차이에 의해 신호가 인가되어 고장 지점에서 반사되 어 되돌아오는데 걸리는 시간을 구하고 식(5)를 이용하 여 케이블 고장 위치까지의 거리  를 계산한다 [6]. …”

Section: 서론unclassified

Cable Fault Detection Improvement of STDR Using Reference Signal Elimination

Jeon¹,

Kim²

2016

Journal of the Korea Academia-Industrial cooperation Society

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STDR (sequence time domain reflectometry) to detect a cable fault using a pseudo noise sequence as a reference signal, and time correlation analysis between the reference signal and reflection signal is robust to noisy environments and can detect intermittent faults including open faults and short circuits. On the other hand, if the distance of the fault location is far away or the fault type is a soft fault, attenuation of the reflected signal becomes larger; hence the correlation coefficient in the STDR becomes smaller, which makes fault detection difficult and the measurement error larger. In addition, automation of the fault location by detection of phase and peak value becomes difficult. Therefore, to improve the cable fault detection of a conventional STDR, this paper proposes the algorithm in that the peak value of the correlation coefficient of the reference signal is detected, and a peak value of the correlation coefficient of the reflected signal is then detected after removing the reference signal. The performance of the proposed method was validated experimentally in low-voltage power cables. The performance evaluation showed that the proposed method can identify whether a fault occurred more accurately and can track the fault locations better than conventional STDR despite the signal attenuation. In addition, there was no error of an automatic fault type and its location by the detection of the phase and peak value through the elimination of the reference signal and normalization of the correlation coefficient.

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Section: 서론unclassified

Cable Fault Detection Improvement of STDR Using Reference Signal Elimination

Jeon¹,

Kim²

2016

Journal of the Korea Academia-Industrial cooperation Society

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“…Recent works [50] have proposed a new time-frequency domain method called Joint Time-Frequency Domain Reflectometry (JTFDR), based on the use of a chirp signal with a Gaussian envelope and a timefrequency cross-correlation function [51] which amplifies small signals, such as soft defects contributions, up to a level comparable to hard defects. This very efficient diagnosis method has been improved in [52] and applied to the detection of soft defects as well as connectors in transmission lines [53].…”

Section: The Problem Of Soft Defect Detectionmentioning

confidence: 99%

Wire Troubleshooting and Diagnosis: Review and Perspectives

Auzanneau¹

2013

PIER B

124

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Abstract-Electrical cables of all types are subject to aggressive environments that can create defects or accelerate aging. Many application domains require diagnosis methods and tools. Among many methods, reflectometry has proven to be the best candidate and can be easily applied to the detection and localization of hard defects, while only requiring one access point to the wire. But soft defects are more difficult to track and require new powerful methods. This paper presents a review of the recent state of the art in the field of wired network diagnosis and shows the evolution of future activities in this domain. It provides new perspectives and new research domains are proposed.

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“…TFDR이 적용된 분야는 동축 케이블 [3]- [5], 전력 케이블 [6], [7], 전력 시스템 내의 전기 케이블 [8]- [10] 등이 었다. 이 중, 전력 케이블의 경우, 사선 상태 케이블의 고장 진단이거나 [6], 활선일 경우에도 부하가 걸려 있지 않은 경 우였다 [7].…”

Section: 서 론unclassified

Multi-Impedance Change Localization of the On-Voltage Power Cable Using Wavelet Transform Based Time-Frequency Domain Reflectometry

Lee

Choi

Park³

2013

The Transactions of The Korean Institute of Electrical Engineer

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-In this paper, we propose a multi-impedance changes localization method of on-voltage underground power cable using the wavelet transform based time-frequency domain reflectometry (WTFDR). To localize the impedance change in on-voltage power cable, the TFDR is the most suitable among reflectometries because the inductive coupler is used to inject the reference signal to the live cable. At this time, the actual on-voltage power cable has multi-impedance changes such as the automatic section switches and the auto load transfer switches. However, when the multi-impedance changes are generated in the close range, the conventional TFDR has the cross term interference problem because of the nonlinear characteristics of the Wigner-Ville distribution. To solve the problem, the wavelet transform (WT) is used because it has the linearity. That is, using WTFDR, the cross term interference is not generated in multi-impedance changes due to the linearity of the WT. To confirm the effectiveness and accuracy of the proposed method, the actual experiments are carried out for the on-voltage underground power cable.

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Application of Time-Frequency Domain Reflectometry for Detection and Localization of a Fault on a Coaxial Cable

Cited by 201 publications

References 13 publications

Cable Fault Detection Improvement of STDR Using Reference Signal Elimination

Cable Fault Detection Improvement of STDR Using Reference Signal Elimination

Wire Troubleshooting and Diagnosis: Review and Perspectives

Multi-Impedance Change Localization of the On-Voltage Power Cable Using Wavelet Transform Based Time-Frequency Domain Reflectometry

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