Electricity anomalies diagnose method based on the electricity information acquisition system
Jinyang Jiang, Yingying Cheng, Ling Feng, Jiaming Zhang, Shiliang Chang, Ji Xiao · 2019
This paper introduces several common electrical anomalies and their characteristics, and gives the relevant characteristic parameters. And then, establishes the relationship between various abnormal events and data in the electricity information acquisition system. On this basis, the electricity anomaly structural model based on the electricity information acquisition system is designed, which including data preprocessing and electricity anomaly detection model. The validity of the structured model is proved by experimental data, which provides an effective method for solving the problem of abnormal power diagnosis under big data conditions.