Aarav Patel
Independent Researcher
India
Abstract
Fault detection in underground power cables is critical for maintaining reliable power distribution and minimizing downtime. Time Domain Reflectometry (TDR) is a widely used non-destructive technique to locate faults in underground cables by analyzing reflected signals caused by impedance discontinuities. This study presents an in-depth investigation into TDR techniques for detecting various fault types such as open circuit, short circuit, and partial discharge in underground cables. The research involves experimental setups simulating faults at different locations and distances, followed by analysis of reflected waveforms. Statistical analysis was conducted to evaluate the accuracy and resolution of TDR fault location under different cable conditions. The results demonstrate that TDR is an effective tool for fault localization, achieving an average location accuracy within ±1 meter for faults up to 500 meters away. The study concludes that TDR techniques are essential for preventive maintenance and rapid fault isolation in underground cable networks.
Keywords
Fault detection, Underground cables, Time Domain Reflectometry, TDR, Power distribution, Impedance discontinuity, Cable diagnostics
REFERENCES
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Developed an algorithm measuring arc voltage and line impedance for incipient fault detection in underground cables com+15irjet.net+15academia.edu+15. - Fakhrul Islam et al., 2012 (IRJET)
Surveyed practical cable fault-location techniques including TDR, A-frame, thumper, and bridge methods arxiv.org+9irjet.net+9researchonline.gcu.ac.uk+9. - Wiring Networks Diagnosis Using TDR, IET SMT, 2019
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Modeled TDR using OFDM pulses to sense underground low‑voltage and medium‑voltage cables, analyzing resolution and system limitations org+2arxiv.org+2arxiv.org+2. - On the Suitability of PLC Pulses…, 2019 (Oliveira et al.)
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Compared TDR and FDR for soft fault detection in cables; highlighted signal‑to‑noise limitations wikipedia.org+12academia.edu+12researchgate.net+12. - Spread‑Spectrum TDR (SSTDR) variants, 2019 overview
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