Dynamic fault diagnosis means of the power message system based on big data

Aiming at the poor fault diagnosis ability of traditional power information system, a dynamic fault diagnosis method based on big data for power information system is proposed. Firstly, the original fault information of power information system is sampled, and the collected fault characteristic data are reconstructed by multi feature and information fitting. Then, the attribute distribution detection and big data mining are carried out for the fault dynamic characteristics of power information system. According to the high-order spectrum feature distribution of the extracted power information system fault signals, the dynamic fault diagnosis and fuzzy clustering analysis are carried out for the power information system, and the fault diagnosis is optimised according to the classification results. The simulation results show that the dynamic fault diagnosis accuracy of power information system is high, the fault sample detection results are accurate and reliable, and the dynamic fault detection ability is improved. Copyright © 2022 Inderscience Enterprises Ltd.