Paper
10 November 2021 Health monitoring method of transmission tower based on association rule algorithm
Xie Hu, Zhenhua Wang, Yuxiao Liang, Chen Zeng, Changjin Hao
Author Affiliations +
Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205030 (2021) https://doi.org/10.1117/12.2614376
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China
Abstract
In order to avoid the influence of environmental factors on the accuracy of abnormal monitoring of transmission tower (TT) and improve the applicability of health monitoring of TT, the health monitoring method of TT based on association rule algorithm is studied. The sensors of temperature, wind speed, wind direction and wind deflection angle are selected as the health monitoring nodes of TTs. The fusion values of abnormal monitoring points of TTs are obtained by batch estimation algorithm. The fused data of TTs are used as the candidate item set of association rule algorithm. According to the minimum support and confidence, the candidate item set of abnormal mode records of TTs is scanned, The frequent itemsets of abnormal patterns of TTs are found, and the association rules between abnormal patterns and abnormal causes in frequent itemsets are generated to realize the health monitoring of TTs. The test results show that the data fusion method can effectively avoid the impact of the instability of data acquisition of each monitoring node. When the minimum confidence and support are 0.6 and 0.7 respectively, the monitoring accuracy of this method is better, almost close to 1. In different environments, the monitoring accuracy of TT is higher than 0.9, which has strong applicability and high monitoring accuracy.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xie Hu, Zhenhua Wang, Yuxiao Liang, Chen Zeng, and Changjin Hao "Health monitoring method of transmission tower based on association rule algorithm", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205030 (10 November 2021); https://doi.org/10.1117/12.2614376
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KEYWORDS
Data fusion

Databases

Environmental monitoring

Sensors

Mining

Fiber optics sensors

Temperature metrology

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