Advanced polymeric cable degradation diagnostics using time domain reflectometry technique
Power cable is an important medium to transmit electricity from generation to transmission and distributing to end users. Despite taking various preventive measures, there are still numerous reports on power outages due to power cable failure. Power utility companies have been using time domain refl...
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my.um.eprints.354582023-10-05T07:31:59Z http://eprints.um.edu.my/35458/ Advanced polymeric cable degradation diagnostics using time domain reflectometry technique Kuan, Tze Mei Mohd Ariffin, Azrul Sulaiman, Suhaila Illias, Hazlee Azil Raymond, Wong Jee Keen TK Electrical engineering. Electronics Nuclear engineering Power cable is an important medium to transmit electricity from generation to transmission and distributing to end users. Despite taking various preventive measures, there are still numerous reports on power outages due to power cable failure. Power utility companies have been using time domain reflectometry (TDR) technique to locate fault in cable. However, the cable diagnosis often consumes long period of time due to uncertainty of cable fault signatures from the TDR result. Therefore, this study aims to investigate the cable fault signature from the TDR result so that fault in the cable can be identified quickly for replacement work to take place. This study consists of TDR simulation work using MATLAB Simulink and validation of simulation results with TDR experiments. Power cable is first modelled without any joint followed by a cable with two joints. Conditions of every cable section is varied for each cable model to replicate all possibilities of cable degradation along the cable. Simulation results from all cable configurations are then validated with TDR experiments. Both TDR simulation and experimental results have shown consistencies in the TDR reflections with distinct signatures where it can be detected by observing the delay and change in magnitude of cable joint reflections. Greater delay shows higher level of degradation in the cable. Degraded cable with joint can be identified from the cable joint reflection that has a higher magnitude. With these TDR reflection signatures, degraded cable can be identified and sectionalized for cable replacement to take place immediately and thus, minimizes the electricity disruption time. © 2021 IEEE. 2021 Conference or Workshop Item PeerReviewed Kuan, Tze Mei and Mohd Ariffin, Azrul and Sulaiman, Suhaila and Illias, Hazlee Azil and Raymond, Wong Jee Keen (2021) Advanced polymeric cable degradation diagnostics using time domain reflectometry technique. In: 13th IEEE International Conference on the Properties and Applications of Dielectric Materials, ICPADM 2021, 12 - 14 July 2021, Virtual, Online. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111971883&doi=10.1109%2fICPADM49635.2021.9493948&partnerID=40&md5=65b43e378580b20e5329a0ce1a607075 |
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TK Electrical engineering. Electronics Nuclear engineering Kuan, Tze Mei Mohd Ariffin, Azrul Sulaiman, Suhaila Illias, Hazlee Azil Raymond, Wong Jee Keen Advanced polymeric cable degradation diagnostics using time domain reflectometry technique |
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Power cable is an important medium to transmit electricity from generation to transmission and distributing to end users. Despite taking various preventive measures, there are still numerous reports on power outages due to power cable failure. Power utility companies have been using time domain reflectometry (TDR) technique to locate fault in cable. However, the cable diagnosis often consumes long period of time due to uncertainty of cable fault signatures from the TDR result. Therefore, this study aims to investigate the cable fault signature from the TDR result so that fault in the cable can be identified quickly for replacement work to take place. This study consists of TDR simulation work using MATLAB Simulink and validation of simulation results with TDR experiments. Power cable is first modelled without any joint followed by a cable with two joints. Conditions of every cable section is varied for each cable model to replicate all possibilities of cable degradation along the cable. Simulation results from all cable configurations are then validated with TDR experiments. Both TDR simulation and experimental results have shown consistencies in the TDR reflections with distinct signatures where it can be detected by observing the delay and change in magnitude of cable joint reflections. Greater delay shows higher level of degradation in the cable. Degraded cable with joint can be identified from the cable joint reflection that has a higher magnitude. With these TDR reflection signatures, degraded cable can be identified and sectionalized for cable replacement to take place immediately and thus, minimizes the electricity disruption time. © 2021 IEEE. |
format |
Conference or Workshop Item |
author |
Kuan, Tze Mei Mohd Ariffin, Azrul Sulaiman, Suhaila Illias, Hazlee Azil Raymond, Wong Jee Keen |
author_facet |
Kuan, Tze Mei Mohd Ariffin, Azrul Sulaiman, Suhaila Illias, Hazlee Azil Raymond, Wong Jee Keen |
author_sort |
Kuan, Tze Mei |
title |
Advanced polymeric cable degradation diagnostics using time domain reflectometry technique |
title_short |
Advanced polymeric cable degradation diagnostics using time domain reflectometry technique |
title_full |
Advanced polymeric cable degradation diagnostics using time domain reflectometry technique |
title_fullStr |
Advanced polymeric cable degradation diagnostics using time domain reflectometry technique |
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Advanced polymeric cable degradation diagnostics using time domain reflectometry technique |
title_sort |
advanced polymeric cable degradation diagnostics using time domain reflectometry technique |
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2021 |
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http://eprints.um.edu.my/35458/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111971883&doi=10.1109%2fICPADM49635.2021.9493948&partnerID=40&md5=65b43e378580b20e5329a0ce1a607075 |
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13.211869 |