DESIGN OF MONITORAND PREDICTION SYSTEM FOR HIGH VOLTAGE TRANSMISSION LINE GALLOPING
DESIGN OF MONITORAND PREDICTION SYSTEM FOR HIGH VOLTAGE TRANSMISSION LINE GALLOPING
- Author(s): R. Li 1 and T. Wang 1
- DOI: 10.1049/icp.2021.1313
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): R. Li 1 and T. Wang 1
-
-
View affiliations
-
Affiliations:
1:
Beijing Information Science and Technology University, 100192 , Beijing , China
Source:
The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020),
2021
p.
223 – 228
-
Affiliations:
1:
Beijing Information Science and Technology University, 100192 , Beijing , China
- Conference: The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)
- DOI: 10.1049/icp.2021.1313
- ISBN: 978-1-83953-506-2
- Location: Online Conference
- Conference date: 28-29 November 2020
- Format: PDF
Galloping is a disaster of transmission lines. It is a large-amplitude, low-frequency mechanical vibration that occurs on transmission lines under a combination of wind, ice-covered lift, and wire tension under specific weather conditions. At present, an online monitoring system with a single sensing method is widely used in the power grid. There is still relatively little research on the prediction of galloping disasters. This article designs an online monitoring and prediction system that combines video monitoring and inertial navigation modules. In the system, the data fusion method is repeatedly used to achieve more accurate on-line monitoring and short-term prediction of transmission line galloping.
Inspec keywords: inertial navigation; computerised monitoring; overhead line mechanical characteristics; sensor fusion; vibrations; power grids
Subjects: Computerised instrumentation; Overhead power lines