Data mining and analysis for defects of secondary equipment in power grid

Mingjing Zhao; Bo Wang; Yanghui Zu; Dan Wang; Zhixiong Liu

doi:10.1117/12.2679356

18 July 2023 Data mining and analysis for defects of secondary equipment in power grid

Mingjing Zhao, Bo Wang, Yanghui Zu, Dan Wang, Zhixiong Liu

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272224 (2023) https://doi.org/10.1117/12.2679356
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

In order to effectively maintain and operate the smart substations, a data mining and analysing method for defects of secondary equipment based on the FP-Growth algorithm is proposed．The basic ideas of association rules and FP-Growth algorithm are introduced firstly, then the defect model and the system framework are proposed to mine and analyze the defect data. Through the analysis of the actual defect data of a substation using the proposed method, it shows that the proposed method can effectively find the relationship among secondary devices, manufactories, defect properties, defect causes and other factors. By data mining, it can provide valuable information for efficient maintaining and operation of the substations. Some auxiliary suggestions are given for operation of secondary device finally．

Citation Download Citation

Mingjing Zhao, Bo Wang, Yanghui Zu, Dan Wang, and Zhixiong Liu "Data mining and analysis for defects of secondary equipment in power grid", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272224 (18 July 2023); https://doi.org/10.1117/12.2679356

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