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FAULT DETECTION IN 3-PHASE UNDER GROUND SYSTEM USING AURDINO
Abstract
Underground cables are using widely as power networks expand, but they are also vulnerable to various faults caused by soil conditions, ageing, and damage by rodents. Locating the exact point of failure is challenging because the cable is buried and cannot be inspected visually. Without proper detection methods, large sections must be excavated, leading to unnecessary effort and cost. By identifying the precise location of the fault, only the affected portion of the cable needs to be accessed, which significantly reduces repair time and expenses. This project focuses on measuring the distance to a fault point from the control station in kilometres, enabling quicker maintenance of underground cable systems.
References
Pavan Suresh Warade and Lakshman K, developed a system that focuses on designing and implementing an IoT- based method for identifying faults in underground power cables.
Dr. G. Joga rao, along with S Sharmilla, M. Mohan avinash, N. Dileep kumar, S. Mohan swamy and B. Ranjith kumar, carried out a study focused on analysing techniques for locating the distance of short circuit faults in underground cables.
Shaikh shahir, Shaikh tariq, Aqdas bhangi and Khizar khot introduced a GSM-based underground cable fault detector system. Their approach sends automatic alerts to the operator when a fault occurs, enabling remote monitoring and quicker response. The system improves accessibility in areas where constant physical inspection is difficult, enhancing maintenance efficiency.
R. K. Raghul Mansingh, R. Rajesh, S. Rama Subramani and G. Ramkumar proposed a system that uses an Arduino controller to identify faults in underground cables. Their work explains how variations in electrical parameters help pinpoint the fault location, allowing faster maintenance and improving the reliability of cable networks.
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