Defect correlation analysis of full-level collaborative power communication network based on FP-Growth algorithm

Jiangsheng Li; Mengxi Zhang; Guangxiang Jin; Qi Wei; Min Liu

doi:10.1117/12.3037444

27 September 2024 Defect correlation analysis of full-level collaborative power communication network based on FP-Growth algorithm

Jiangsheng Li, Mengxi Zhang, Guangxiang Jin, Qi Wei, Min Liu

Author Affiliations +

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 1327503 (2024) https://doi.org/10.1117/12.3037444
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

To guarantee the stable functioning of extensive comprehensive collaborative power communication network equipment linked to the power grid, this paper suggests a defect correlation analysis approach for comprehensive collaborative power communication network equipment, enhanced by the FP-Growth algorithm. Firstly, the fundamental framework and underlying principles of the comprehensive collaborative power communication network equipment are examined, and the malfunction data of the comprehensive collaborative power communication network equipment are gathered. Then, the original data is preprocessed, quantized and encoded into FP-Growth algorithm, and its support and confidence are calculated by constructing FP-Tree. Finally, the effectiveness of the method is verified by the simulation example of the actual full-level collaborative power communication network equipment defect data. This method can analyze and trace the information related to the core equipment defects of the fullness collaborative power communication network in an efficient and intelligent way, thus offering theoretical backing for operational and maintenance staff to devise maintenance strategies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiangsheng Li, Mengxi Zhang, Guangxiang Jin, Qi Wei, and Min Liu "Defect correlation analysis of full-level collaborative power communication network based on FP-Growth algorithm", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 1327503 (27 September 2024); https://doi.org/10.1117/12.3037444

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