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Design of Intelligent Monitoring System in Galloping Power Transmission Line

To prevent the frequent occurrence of transmission line galloping accidents, many scholars have carried out studies. However, there are still many difficulties that have not been solved. To address the issues that have arisen during the installation of the monitoring system, a new installation technique for the galloping monitoring terminal structure has been developed, and structural design and transmission line impact have been taken into account. A method combining Kalman and Mahony complementary filtering has been shown to solve the problem of wire twisting when galloping is taken into account. The displacement is derived by double-integrating the acceleration, although the trend term has a significant impact on the integration result. To handle the trend term issue and other error effects, a method combining the least-squares method, the adaptive smoothing method, and the time-frequency domain hybrid integration approach is used. Finally, the monitoring terminal’s structural design is simulated and evaluated, and the measured amplitude is assessed on a galloping standard test bench. The difference between the measured amplitude and the laboratory standard value is less than 10%, meeting the engineering design criteria. And the galloping trajectory is identical to the test bench trajectory, which is critical for user end monitoring.
- North China University of Water Conservancy and Electric Power China (People's Republic of)
- North University of China China (People's Republic of)
- Teesside University United Kingdom
- North China University of Water Conservancy and Electric Power China (People's Republic of)
- Teesside University United Kingdom
transmission lines, Chemical technology, Acceleration, TP1-1185, transmission lines; Kalman filtering; Mahony complementary filter; galloping amplitude monitoring, Mahony complementary filter, Article, galloping amplitude monitoring, Least-Squares Analysis, Kalman filtering, Monitoring, Physiologic
transmission lines, Chemical technology, Acceleration, TP1-1185, transmission lines; Kalman filtering; Mahony complementary filter; galloping amplitude monitoring, Mahony complementary filter, Article, galloping amplitude monitoring, Least-Squares Analysis, Kalman filtering, Monitoring, Physiologic
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
