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Improvement in Cable Defects Assessment using Time Domain Reflectometry Technique
Background/Objectives: This study examines the potential of time domain reflectometry (TDR) technique in locating fault accurately along a cable due to cable insulation degradation and degradation at cable joint. Methods/Statistical Analysis: This study involves experimental verification of TDR technique in cable defect localization and identification. The experiment is divided into two parts. Part 1 investigates the ability of TDR to detect cable defect due to cable insulation degradation while part 2 investigates the effect of defect due to degraded cable joint on the TDR results. TDR results are analyzed to identify the reflections due to insulation and jointing degradations. Findings: A degraded cable can be identified by evaluating the velocity of propagation where signal propagates slower in a degraded cable, which causes delay in the reflections. A cable joint can be detected by TDR through a pair of reflections, which consists of a positive peak followed by a negative peak. A degraded joint can be recognized by comparing the amplitudes of the positive and negative peaks reflected where degraded joint gives higher positive and negative peaks. Application/Improvements: Improves the cable defects assessment by indicating the degradation of cable insulation and jointing, and pinpointing the degradation location through the time domain reflectometry technique.
Cable, Defects, Joints, Reflectometry, Time Domain
- David L. McKinnon. Insulation Resistance Profile (IRP) and Its Use for Assessing Insulation Systems. Proceedings of IEEE International Symposium on Electrical Insulation (ISEI), San Diego. 2010; 1–4.
- Parpal JL, Drapeau JF, Potvin C, Jean D, Lalancette D, Beaudoin PE. Water-Tree Aging Characterization of MV XLPE Cable Insulation using Time Domain Spectroscopy (TDS). Proceedings of 19th International Conference on Electricity Distribution, CIRED 2007, Vienna. 2007. p. 1–4.
- Liu Y, Chang X, Liu G. Analysis of AC Voltage Withstand Test of HV XLPE Power Cable. Proceedings of IEEE International Conference on Solid Dielectrics, Winchester, U.K. 2007. p. 666–8.
- Walton CM. Detecting and Locating MV Failure Before It Occurs. Experience with live line partial discharge detection on underground paper insulated 11 kV cables in London. Proceedings of International Conference on Electricity Distribution, CIRED 2001, Amsterdam. 2001.
- Uchida K, Kato Y, Nakade M, Inoue D, Sakakibara H, Tanaka H. Estimating the Remaining Life of Water-Treed XLPE Cable by VLF Voltage Withstand Tests. Asia Pasific IEEE PES Transmission and Distribution Conference and Exhibition. 2002 Oct; 3:1879–84.
- Ministerial inquiry into the Auckland Power Supply Failure.Publication company: NZ Herald. 1998.
- Power outage may affect Tenaga’s bid for tariff rise.Publication company: Asia Africa Intelligence Wire. 2005.
- Power outages due to cable failure. Publication company: Caxton Newspaper. 2011.
- 13 of the largest power outages in history. Publication company: Union of Concerned Scientist. 2013.
- Power outages in Jersey City caused by underground cable failure: officials. Publication company: The Jersey Journal.2013.
- Detroit – Power outage update. Publication company: Scripps Media. 2013
- NV Energy: Power outage due to underground cable failure.Publication company: Carson City News. 2013.
- Downtown power outage caused by cable failure.Publication company: Raven Radio Foundation, KCAW.2013.
- Underground cable failure responsible for power outage in Ballard. Publication company: Next Door Media. 2013.
- Wang J, Stone PEC, Shin YJ, Dougal RA. Application of joint time-frequency domain reflectometry for electric power cable diagnostics. IET Signal Process. 2009 Sep; 4(4):395–405.
- Parkey C, Hughes C, Locken N. Analyzing Artifacts in the Time Domain Waveform to Locate Wire Faults.Proceedings of IEEE AUTOTESTCON. 2011.
- Shin Y-J, Powers EJ, Choe T-S, Hong C-Y, Song E-S, Yook J-G, Park B. Application of Time-Frequency Domain Reflectometry for Detection and Localization of a Fault on a Coaxial Cable. IEEE Transactions on Instrumentation and Measurement. 2005 Dec; 54(6):2493–500.
- Shi Q, Troeltzsch U, Kanoun O. Detection and Localization of Cable Faults by Time and Frequency Domain Measurements. Proceedings of 2010 7th International Multi-Conference on Systems, Signals and Devices, Amman. 2010. p. 1–6.
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