High voltage switchgear is a key equipment in the power system,and its fault identification is crucial for ensuring the safe and stable operation of the power system.This article proposes an automatic fault identification technology for high-voltage switchgear emergency response devices assisted by multiple sensors.Using binocular vision,infrared,and partial discharge sensors to comprehensively detect and identify faults in switchgear,combined with data fusion algorithms and machine learning methods,to improve the accuracy and real-time performance of fault identification.The experimental results show that this technology can effectively identify multiple types of faults in switchgear,providing reliable technical support for the maintenance and emergency response of power systems.
关键词
高压开关柜/多源传感器/故障辨识/机器学习
Key words
high voltage switch cabinet/multi-source sensor/fault identification/machine learning
维普
万方数据