In the context of the increasing complexity and intelligence of power systems,substations serve as critical nodes for electric energy transmission and distribution,and the stable operation of their secondary circuits is directly related to the safety and reliability of the power grid.Secondary circuit fault diagnosis has thus become one of the important areas of research in power systems.With the development of technologies such as big data and artificial intelligence,data-driven intelligent fault diagnosis techniques have emerged.This article aims to automatically identify and analyze faults through algorithms such as deep learning,thereby improving the accuracy and efficiency of diagnosis.This article delves into the application of an intelligent control system for electronic measurement equipment in the fault diagnosis of substation secondary circuits,demonstrating the advantages of data-driven intelligent diagnosis systems in enhancing the efficiency of secondary circuit fault diagnosis in substations,providing strong support for the stable operation of power systems.
关键词
电子测量设备/无线传感器/智能控制系统/数据采集
Key words
electronic measurement equipment/wireless sensors/intelligent control system/data acquisition
维普
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