Fault Detection of Transmission Lines Using Unmanned Aerial Vehicle (UAV)
Abstract
The power transmission system is an essential part of the modern infrastructure that enables the distribution of electricity from power generation plants to households and industries. Transmission lines are the backbone of the power transmission system, and their proper functioning is crucial for the uninterrupted supply of electricity. However, faults in transmission lines are a common occurrence, and their timely detection and repair are crucial to ensure the reliability and efficiency of the power system. Traditional methods of detecting faults in transmission lines are labor-intensive, time-consuming, and expensive. Hence, there is a need for an efficient and cost effective solution to detect faults in transmission lines.The system "Fault Detection of Transmission Line Using UAV" proposes a novel approach that leverages the potential of unmanned aerial vehicles (UAVs) to detect faults in transmission lines. The proposed system involves equipping a UAV with high resolution cameras and sensors to capture images and data of the transmission lines. The UAV flies over the transmission lines and captures images and data of the entire transmission line, including the insulators, towers, and conductors. The images and data captured by the UAV are then processed using computer vision and machine learning algorithms to detect any abnormalities or faults in the transmission lines. The proposed system has several advantages over traditional methods of
detecting faults in transmission lines. First, the use of UAVs eliminates the need for human intervention, making the process faster, safer, and less costly. Second, the high-resolution images and data captured by the UAV provide a more comprehensive view of the transmission lines, enabling the detection of even minor abnormalities or faults that may be missed by traditional methods. Third, the use of computer vision and machine learning algorithms makes the fault detection process more accurate and efficient, reducing the risk of false alarms and minimizing the time required for repair. The proposed system can be scaled up to cover a larger area, enabling the detection of faults in a timely and accurate manner, thereby reducing downtime and maintenance costs for transmission lines. Furthermore, the proposed system can also be used for preventive maintenance, identifying potential faults before they occur, and reducing the risk of unexpected downtime. Overall, the proposed system "Fault Detection of Transmission Line Using UAV" presents an innovative solution to a critical problem in the power transmission system, potentially making it more reliable, efficient, and sustainable.
Keywords:
Autonomous UAV, computer vision, FPGA, hardware acceleration, mm Wave radar, Power line, sensor Fusion, AI, CNN, Automatic Fault Detection, PowerlinesPublished
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Akil Saji, Sreeyuktha Ramesh, Aabel Jacob, Saumya Sadanadan, Rosmartina Shaju, Dr S N Kumar, Enhancing Image Security with Introduction to Blockchain , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Amal M R, Alaina, Alfred P Benjamin, Aida Shaji, Abin Josy, HEALTHLINK-Enhancing Access to Medical Information and Securing It , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- An Mariya Deve M D, Aswani Unni, Bhagya S, Abin Joseph, Dr. Aju Mathew George, Innovative Biochar Applications for Sustainable Water Purification , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr.Jacob John, Aadhi Lakshmi M R, Alan Thomas Shaji, Alphonsa Francis, Adithyan Suresh Kumar, An Idea Sharing and Validation Platform Using Blockchain with Delegated Proof of Contribution (DPoC) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lis Jose, Adithya , Advaitha , Aju , Alstin Gloria , Revolutionizing Student Employment: The Rise of Unskilled Task Platforms , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jibin Jacob, Joel John, John Ashwin Delmon, Farhan Zuhair, Sinciya P.O, LOCAL WANDERER , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rohan Malka, Jerin Joseph Abraham, Jobcy Johnson, Sobin Saju, Febin Sam Philip, Aju Mathew George, S.N.Kumar , Green Waste Utilization for Sustainable Energy Engineering Application: A Path towards Green Circular Economy , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam , A Comparative Study of AI Models and AI-Based Approaches for Evaluating Subjective Answers in Exams , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Aaron Samuel Mathew, Joel John, Exploring the Evolution of Software Engineering with Generative AI , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Vinayak Prakash, Tresa Mariya Denny, Vivek Subash Nair, Sonal Varghese, Tom Kurian, FEATURE EXTRACTION AND CLASSIFICATION OF CERTIFICATES USING OCR , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.
