MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521118609 A) filed by Dr. D. Y. Patil Institute Of Technology, Pune, Maharashtra, on Nov. 28, 2025, for 'underground cable fault detection using arduino.'
Inventor(s) include Mr. Rohit Katre; Hrishikesh Pawar; Prajwal Pethe; and Mayur Hage.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Underground power cables are essential elements of contemporary electrical distribution systems, yet they remain susceptible to a variety of faults arising from insulation deterioration, moisture penetration, aging, and external mechanical stresses. Conventional fault-diagnosis techniques often necessitate costly instrumentation, skilled personnel, and lengthy troubleshooting procedures that can significantly delay maintenance operations. This invention presents a low-cost, portable underground cable fault-locator employing an Arduino-based time-domain reflectometry (TDR) approach designed to provide rapid, accurate, and user-friendly fault detection capabilities. The system generates short-duration electrical pulses and analyzes the reflected signals produced by impedance discontinuities along the cable. By precisely measuring the time interval between pulse emission and reflection, the device can accurately determine the location of open-circuit, short-circuit, and ground faults. The hardware architecture incorporates an ATmega328P microcontroller, a high-speed pulse generator, signal conditioning and amplification circuits, and a digital processing unit optimized for real-time analysis. Laboratory testing over cable lengths up to 100 meters demonstrated fault-location accuracy within 0.5 meters, validating the effectiveness of the technique. The compact design supports field deployment in diverse environments and can be further enhanced through integration of IoT-based remote monitoring, advanced filtering algorithms, and improved resolution techniques, making it a practical and scalable solution for electrical maintenance operations."
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