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개선된 SSTDR을 이용한 케이블 고장 검출과 위치 계산
Detection and Location of Cable Fault Using Improved SSTDR 원문보기

전기학회논문지 = The Transactions of the Korean Institute of Electrical Engineers, v.65 no.9, 2016년, pp.1583 - 1589  

전정채 (Electrical safety Research Institute, Korea Electrical Safety Co.) ,  김재진 (Electrical safety Research Institute, Korea Electrical Safety Co.) ,  최명일 (Electrical safety Research Institute, Korea Electrical Safety Co.)

Abstract AI-Helper 아이콘AI-Helper

This paper proposes an improved spread spectrum time domain reflectometry (ISSTDR) using time-frequency correlation and reference signal elimination method in order to have more accurate fault determination and location detection than conventional (SSTDR) despite increased signal attenuation due to ...

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제안 방법

  • This paper proposed employed the reference signal elimination and time-frequency correlation analysis in order to reduce the measurement error of cable fault detection and distance calculation due to signal attenuation in SSTDR. The performance of the proposed method was evaluated through open- and short-circuit fault detection experiments using 60m, 120m and 153m low-voltage power cables. The results validated the superior performance of the proposed method.
  • Therefore, this paper proposes an improved SSTDR technique consisting of two steps: peak value of the correlation coefficient of the reference signal is detected using time-frequency correlation analysis, and then a peak value of the correlation coefficient of the reflected signal is detected after removing the reference signal to solve the problem of inaccurate fault detection due to signal attenuation. The performance of the proposed method was evaluated via comparison of existing methods during an experiment involving low-voltage cables. The performance evaluation showed that the proposed method can identify whether a fault occurred more accurately and can track fault locations better than existing methods despite signal attenuation.
  • Therefore, this paper proposes an improved SSTDR technique consisting of two steps: peak value of the correlation coefficient of the reference signal is detected using time-frequency correlation analysis, and then a peak value of the correlation coefficient of the reflected signal is detected after removing the reference signal to solve the problem of inaccurate fault detection due to signal attenuation. The performance of the proposed method was evaluated via comparison of existing methods during an experiment involving low-voltage cables.
  • This paper proposed employed the reference signal elimination and time-frequency correlation analysis in order to reduce the measurement error of cable fault detection and distance calculation due to signal attenuation in SSTDR. The performance of the proposed method was evaluated through open- and short-circuit fault detection experiments using 60m, 120m and 153m low-voltage power cables.
  • 3 consists of a control unit, an arbitrary waveform generator, a digital oscilloscope, and “T” connector. To automatically control the Arbitrary Waveform Generator (NI PXI 5422, 16bits, 200 MS/s) that generates a signal injected into a cable and digital oscilloscope (NI PXIe-5162, 10bits, 5 GS/s, 1.5 GHz) that acquires a signal reflected from the cable fault point, the NI LabVIEW program was developed and MATLAB was used to analyze correlations between reference and measured signals. In the experiment, the reference and measurement signals were injected and measured through the T connector and RG58 cables.
  • In this paper, VOP was measured first with respect to the experimental target cables prior to the SSTDR experiment. To minimize measurement error as much as possible, a pulse signal of 10, 100, 200, and 1000ns was injected into the experimental target cable and averages of tenfold measurement were computed. As a result, a VOP of 1.
  • To solve this problem, this paper aims to improve cable fault distance detection performance in the conventional SSTDR by using time-frequency correlation analysis and removing the reference signals as shown in Fig. 2.

대상 데이터

  • 5 GHz) that acquires a signal reflected from the cable fault point, the NI LabVIEW program was developed and MATLAB was used to analyze correlations between reference and measured signals. In the experiment, the reference and measurement signals were injected and measured through the T connector and RG58 cables.

이론/모형

  • The SSTDR was developed by P. Smith and Professor Cynthia Furse at the University of Utah in the USA, as the Direct Sequence Spread Spectrum (DSSS) technique was used in digital communication cables for the purpose of fault location detection in communication lines[7]. Here, the Spread Spectrum (SS) technique has mainly been used in communication systems, which has an advantage of improving resolution or suppressing interference using a wider bandwidth of actual transferred signals than that which is required for information transmission.
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참고문헌 (11)

  1. Korea Electrical Safety Corporation, "A Statistical Analysis on the Electrical Accident," 2015 

  2. N. G. Paulter, "An Assessment on the Accuracy of Time-Domain Reflectometry for Measuring the Characteristic Impedance of Transmission Lines," IEEE Trans. on Instrumentation and Measurement, Vol. 50, No. 5, pp. 1381-1388 ,Oct.2001 

  3. C. Furse. Y. C. Chung, R. Danglo, M. Nielsen, G. Mabey and R. Woodward, "Frequency-domain refelectometry for on-board testing of aging aircraft wiring," IEEE Trans. Electromagn. Compat., Vol. 45, No. 2, pp. 306-315, May. 2003. 

  4. Cynthia Furse, "A Critical comparison of reflectometry methods for location of wiring faults," Smart Structure and Systems, Vol. 2, No. 1, pp.25-46, 2006 

  5. 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 Trans. on Instrumentation and Measurement, Vol. 54, No. 6, pp. 2493-2500, Dec. 2005 

  6. Chirag R. Sharma, Cynthia Furse and Reid R. Harrison, "Low-Power STDR CMOS Sensor for Location Faults in Aging Aricraft Wiring," IEEE Sensors Journal, Vol. 7, No. 1, pp. 43-50, Jan. 2007 

  7. P. Smith, "Spread spectrum time domain refletometry," Ph.D. dissertation, Dept. Elect. Comput. Eng., Utah Univ., Logan, 2003 

  8. Paul Smith, Cynthia Furse and Jacob Gunther, "Analysis of Spread Spectrum Time Domain Reflectometry for Wire Fault Loaction," IEEE Sensors Journal, Vol. 5, No. 6, pp. 1469-1478, Dec. 2005. 

  9. Cynthia Furse, Paul Smith, Mehdi Safavi and Chet Lo, "Feasibility of Spread Specturm Sensors for Location of Arcs on Live Wires," IEEE Sensors Journal, Vol. 5, No. 6, pp. 1445-1450,Dec.2005. 

  10. Boualem Boashash, "Time Frequency Signal Analysis and Processing," ELSEVIER, 2003 

  11. Jeong-Chay Jeon, Taek-Hee Kim and Jae-Geun Yoo, "Fault Detction of Low Voltage Cable Using Time- Frequency Correlation in SSTDR.", The trans. of the KIEE, Vol. 64, No. 3, pp. 498-504, 2015. 

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