Chinguun Bold
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Chinguun Bold has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Bat-Erdene Byambasuren
Mongolian University of Science and Technology
1 shared publication - Donghan Kim
Kyung Hee University
1 shared publication - Jargalbaatar Yura
AgeTech-Service Convergence Major, Department of Electronic Engineering, Kyung Hee University, Yongin 17104, Republic of Korea
1 shared publication - Mandakh Oyun-Erdene
Department of Electric Technique, Mongolian University of Science and Technology, Ulaanbaatar 11000, Mongolia
1 shared publication
Latest Publications
- Open Access
Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid
Smart sensing and power line tracking is very important in a smart grid system. Illegal electricity usage can be detected by remote current measurement on overhead power lines using an inspection robot. There is a need for accurate detection methods of illegal electricity usage. Stable and correct power line tracking is a very prominent issue. In order to correctly track and make accurate measurements, the swing path of a power line should be previously fitted and predicted by a mathematical function using an inspection robot. After this, the remote inspection robot can follow the power line and measure the current. This paper presents a new power line tracking method using parabolic and circle fitting algorithms for illegal electricity detection. We demonstrate the effectiveness of the proposed tracking method by simulation and experimental results.
Open AccessInspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid
Smart sensing and power line tracking is very important in a smart grid system. Illegal electricity usage can be detected by remote current measurement on overhead power lines using an inspection robot. There is a need for accurate detection methods of illegal electricity usage. Stable and correct power line tracking is a very prominent issue. In order to correctly track and make accurate measurements, the swing path of a power line should be previously fitted and predicted by a mathematical function using an inspection robot. After this, the remote inspection robot can follow the power line and measure the current. This paper presents a new power line tracking method using parabolic and circle fitting algorithms for illegal electricity detection. We demonstrate the effectiveness of the proposed tracking method by simulation and experimental results.