Impedance change localization for live underground cable using time-frequency domain reflectometry

Lee, Sin Ho; Lee, Chun Ku; Park, Jin Bae; Kwak, Ki Seok

doi:10.1587/elex.9.359

Cited by 9 publications

(7 citation statements)

References 6 publications

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“…The parameters are designed by considering the characteristics of the The time duration of the reference signal is selected as 350 ns. That is, in this experiment, we select the same reference signal as in [4,5] because we use the same kind of cables as in [4,5]. The CNCV-W XLPE underground power cable is used for the experiment.…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

“…To design the reference signal, three parameters are needed, www.ietdl.org which are the centre frequency, the frequency bandwidth and the time duration. Here, the reference signal is chosen as [4,5] because the signal is also used in the actual experiment. Thus, the reference signal ranges from 5 to 20 MHz because the centre frequency and the frequency bandwidth are chosen as 12.5 and 15 MHz, respectively.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Time-frequency domain reflectometry (TFDR), which is used to detect and localise a cable fault, is a well-known method and the method has been applied to various applications such as coaxial cable [1][2][3], high voltage power cable [4][5][6], electric power cable in nuclear power plant and ship power system [7][8][9]. Among the reflectometries, time domain reflectometry (TDR) and frequency domain reflectometry (FDR), which are heavily affected by the noise, have a limitation for the resolution and the accuracy of the fault detection because of the rise/ fall time and the frequency sweep bandwidth, respectively [1].…”

Section: Introductionmentioning

confidence: 99%

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Blind spot reduction in wavelet transform‐based time–frequency domain reflectometry using Gaussian chirp as mother wavelet

Lee¹,

Park²,

Choi³

2014

IET signal process.

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In this study, the authors propose a blind spot reduction method in wavelet transform-based time-frequency domain reflectometry (WTFDR) by using the Gaussian chirp as the mother wavelet. The blind spot is one of the intrinsic weak points in reflectometry and it means the overlapping ranges of the reference and the reflected signals when the fault is generated at a close distance. Owing to the blind spot, it is difficult to localise the close range fault. Thus, many researchers study the blind spot which is generated in various cables such as electric cable in flight, network cable and power cable. In this study, two methods are used to reduce the blind spot. Firstly, by using the linearity of a complex wavelet transform, the overlapped reference signal at the measured signal is separated and the blind spot is reduced by obtaining the difference of the moduli of the wavelet coefficients for the reference and the reflected signals. Secondly, by using the Gaussian chirp as the mother wavelet, which is designed by considering the characteristics of the cable, the wavelet analysis and the resolution of the WTFDR are improved. Finally, the computer simulations and the real experiments are performed to confirm the effectiveness and the accuracy of the proposed method.

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Section: Experimental Setup and Resultsmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Blind spot reduction in wavelet transform‐based time–frequency domain reflectometry using Gaussian chirp as mother wavelet

Lee¹,

Park²,

Choi³

2014

IET signal process.

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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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“…However, TDR is only analyzed in the time domain. In addition, the method is heavily affected by noise and has the limitation on the resolution and accuracy due to the rise/fall time [3,4,5]. To solve the problem, we employ the time-frequency analysis for the diagnosis of degradation phenomena.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic method for insulated power cables based on wavelet energy

Lee¹,

Lee²,

Park³

et al. 2013

IEICE Electron. Express

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Abstract:In this paper, we propose a diagnostic method for insulated power cables based on wavelet energy. The power cable has the degradation problem because of the thermal stress and the electric stress and the risk increases with aging time. Thus, we need to know the aging condition for the power cable. The cable aging condition can be verified by using the wavelet energy because the attenuation constant is increased by the cable aging. That is, the wavelet energy decreases as the cable aging condition deteriorates. To confirm the effectiveness of the proposed method, the real experiments are carried out for four types of the old cables with the different aging times.

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Impedance change localization for live underground cable using time-frequency domain reflectometry

Cited by 9 publications

References 6 publications

Blind spot reduction in wavelet transform‐based time–frequency domain reflectometry using Gaussian chirp as mother wavelet

Blind spot reduction in wavelet transform‐based time–frequency domain reflectometry using Gaussian chirp as mother wavelet

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

Diagnostic method for insulated power cables based on wavelet energy

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