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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42051
Volume:
9 |
3 |
Mar 2025
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Underground cables are increasingly used in modern power distribution systems because they provide improved safety, reduced electromagnetic interference, protection from environmental conditions, and better aesthetic integration compared with overhead lines. However, locating faults in underground cables is difficult because the fault point is not physically visible and conventional fault-finding methods can require considerable manual effort and downtime. This paper presents an IoT-enabled underground cable fault distance identification system using an Arduino UNO microcontroller, fault sensing circuit, ESP8266 Wi-Fi module, LCD display, and relay-based phase isolation. The proposed system applies a low DC voltage to the cable and detects changes in electrical parameters associated with a fault. The Arduino processes the sensed signal using the relationship between voltage, current, and resistance to estimate the fault distance from the feeder end. The detected fault information is displayed locally on an LCD and transmitted through the ESP8266 to a mobile application for remote monitoring. Relays are employed to isolate the affected R, Y, or B phase, thereby improving operational safety. Fault switches positioned at known intervals provide a controlled method for testing and verification. The proposed system offers a modular, low-cost, and scalable approach for real-time underground cable fault monitoring and can be adapted for power distribution and other underground cable networks.
KEYWORDS
This paper presented an IoT-based underground cable fault distance identification system using an Arduino UNO, fault sensing circuit, ESP8266 Wi-Fi module, LCD display, and relay-based phase isolation. The proposed system detects changes in electrical parameters associated with cable faults, processes the sensing information, estimates the fault location, displays the information locally, and communicates it remotely through IoT. The relay mechanism provides additional protection by isolating the affected phase. The developed concept provides a cost-effective and modular approach for improving underground cable monitoring. By combining embedded processing, fault localization, remote communication, and phase isolation, the system can reduce manual troubleshooting effort and support faster maintenance decisions. The project report concludes that the integration of IoT and embedded systems can provide an effective and adaptable approach for modern underground cable fault monitoring.
[1] N. Namassivaya, S. Kotamarthi, H. Akunuri, and G. Sanjana, “Underground Cable Fault Detection System Using IoT,” JETIR Research Journal, 2023. [2] V. Hari Krishna, G. Neelima, P. Poojitha, M. Madhu, D. V. N. Surya, and C. Satwika, “Underground Cable Fault Detection Using IoT,” IJNRD, 2024. [3] R. Prabha, S. Y. Kousika Shree, R. Kavin Kumar, C. K. S. Lalitha Shri, and Guru Manickam, “Underground Cable Fault Detection System Using IoT,” JETIR Research Journal, 2023. [4] Y. Bai, L. Wang, and J. Zhang, “IoT-Based Battery Monitoring for Industrial Applications,” Sensors Journal, 2020. [5] K. Patil et al., “Applications of ACS712 in Smart Battery Systems,” International Conference on Embedded Systems, 2021. [6] R. Sinha and T. Bose, “Relay-Based Load Optimization in IoT Networks,” Transactions on IoT Systems, 2019. [7] T. Nguyen and Y. Kim, “Challenges in Legacy Battery Monitoring Systems,” Journal of Power Sources, 2020.
Publication Date
3/25/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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