Identification of Faults in Invisible Underground Broken Transmission Lines

Abstract

The underground electricity distribution cables are subject to stress and pressure as they are laid underneath the earth. Due to many factors, these cables create different types of faults that include short circuits. If these faults are not addressed, the power supply is disrupted and results in permanent damage. To deal with faults in underground cables, a device has been devised that includes detection of underground broken wires using an android application. The suggested approach measures the electric field around the underground wire. This approach differentiates the short circuit fault from other kinds of faults in underground cables. Only methods for detecting short circuit errors are considered in standard fault detection techniques. The proposed system makes use of low-cost electronic devices that are simple to construct. As a result, the proposed underground fault detection product provides a low-cost optimization solution to locate short-circuit defects.

Keywords:

• Broken wire detection
• Fault detection
• Short circuit
• Transmission line
• Underground cables

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

V. Jegathesan

V Jegathesan is currently working as an associate professor, Department of Robotics Engineering in Karunya Institute of Technology and Sciences, Coimbatore. His primary research interests lie in pattern recognition, biometrics, computer vision, artificial intelligence, and intelligent systems, android applications, sensors, static power converters, and inverters. Email: [email protected]

T. Jemima Jebaseeli

T Jemima Jebaseeli is currently working as an associate professor in Karunya Institute of Technology and Sciences, Coimbatore. Her research interests include medical image processing, image fusion, and image compression, wireless networks, and android applications. She has published papers in international journals and conferences.

D. Jasmine David

D Jasmine David is currently working as an assistant professor in Karunya Institute of Technology and Sciences, Coimbatore. She has several publications in international journals and conference papers which are widely referred to. Her research focus includes big-data, image processing, computer networks, and computer vision,wireless sensors, and mobile adhoc networks. Email: [email protected]