Real-Time Monitoring of High Voltage Switch Based on CAD
In the process of online real-time monitoring of intelligent digital filter high-voltage switchgear, the mechanical state diagnosis of high-voltage circuit breaker is based on fully understanding the mechanical characteristics of each component of circuit breaker. In this paper, K-means clustering a...
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Format: | Article |
Language: | English |
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Wiley
2022-01-01
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Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2022/9136046 |
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author | Long Di Yong Xiao Feng Hu Yujian Liang Jianmin Tan Yimin You |
author_facet | Long Di Yong Xiao Feng Hu Yujian Liang Jianmin Tan Yimin You |
author_sort | Long Di |
collection | DOAJ |
description | In the process of online real-time monitoring of intelligent digital filter high-voltage switchgear, the mechanical state diagnosis of high-voltage circuit breaker is based on fully understanding the mechanical characteristics of each component of circuit breaker. In this paper, K-means clustering algorithm is applied to the mechanical state detection of digital filter high-voltage switchgear. The mechanical state of the digital filter high-voltage switchgear is monitored in real time by using 126 kV GIS. Through fault simulation experiment and mechanical stability experiment, the corresponding changes of characteristics of each mechanical component of circuit breaker in signal waveform and corresponding data changes are found. The experimental results show that this method has good running speed and stability and is more suitable for the real-time monitoring of intelligent digital filter high-voltage switchgear. |
format | Article |
id | doaj-art-4bbec777deff4aceadc070877ce36653 |
institution | Kabale University |
issn | 1687-5699 |
language | English |
publishDate | 2022-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Multimedia |
spelling | doaj-art-4bbec777deff4aceadc070877ce366532025-02-03T06:45:54ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/9136046Real-Time Monitoring of High Voltage Switch Based on CADLong Di0Yong Xiao1Feng Hu2Yujian Liang3Jianmin Tan4Yimin You5Zhaoqing Power Supply Bureau of Guangdong Power Grid Co., LtdZhaoqing Power Supply Bureau of Guangdong Power Grid Co., LtdZhaoqing Power Supply Bureau of Guangdong Power Grid Co., LtdZhaoqing Power Supply Bureau of Guangdong Power Grid Co., LtdZhaoqing Power Supply Bureau of Guangdong Power Grid Co., LtdXiamen University of TechnologyIn the process of online real-time monitoring of intelligent digital filter high-voltage switchgear, the mechanical state diagnosis of high-voltage circuit breaker is based on fully understanding the mechanical characteristics of each component of circuit breaker. In this paper, K-means clustering algorithm is applied to the mechanical state detection of digital filter high-voltage switchgear. The mechanical state of the digital filter high-voltage switchgear is monitored in real time by using 126 kV GIS. Through fault simulation experiment and mechanical stability experiment, the corresponding changes of characteristics of each mechanical component of circuit breaker in signal waveform and corresponding data changes are found. The experimental results show that this method has good running speed and stability and is more suitable for the real-time monitoring of intelligent digital filter high-voltage switchgear.http://dx.doi.org/10.1155/2022/9136046 |
spellingShingle | Long Di Yong Xiao Feng Hu Yujian Liang Jianmin Tan Yimin You Real-Time Monitoring of High Voltage Switch Based on CAD Advances in Multimedia |
title | Real-Time Monitoring of High Voltage Switch Based on CAD |
title_full | Real-Time Monitoring of High Voltage Switch Based on CAD |
title_fullStr | Real-Time Monitoring of High Voltage Switch Based on CAD |
title_full_unstemmed | Real-Time Monitoring of High Voltage Switch Based on CAD |
title_short | Real-Time Monitoring of High Voltage Switch Based on CAD |
title_sort | real time monitoring of high voltage switch based on cad |
url | http://dx.doi.org/10.1155/2022/9136046 |
work_keys_str_mv | AT longdi realtimemonitoringofhighvoltageswitchbasedoncad AT yongxiao realtimemonitoringofhighvoltageswitchbasedoncad AT fenghu realtimemonitoringofhighvoltageswitchbasedoncad AT yujianliang realtimemonitoringofhighvoltageswitchbasedoncad AT jianmintan realtimemonitoringofhighvoltageswitchbasedoncad AT yiminyou realtimemonitoringofhighvoltageswitchbasedoncad |