摘要
对电网配电设备故障进行检测,能够有效提高电网设备稳定性。对配电设备故障的优化检测,需要采集设备图像信息,对图像外部缺陷进行诊断,完成配电设备故障的优化检测。传统方法对采集图像检测点辐射的远红外波,通过温度记录检测故障,但忽略了对信息外部缺陷诊断,导致检测精度低。提出电网配电设备故障优化检测方法,构建电网配电设备的总体框架,对配电设备的图像信息进行采集,采用电网配电设备拍照自定位,引入GPS接收器工作原理,依据序贯相似性检测法,对采集电网配电设备图像的外观缺陷和外部隐患进行识别。结合状态监测、缺陷诊断和数据挖掘技术,判断电网配电设备实际状态,实现电网配电设备故障的优化检测。实验结果表明,所提方法检测精度高,电网设备运行稳定性得以加强。
A detection and optimization method of fault in power grid distribution equipment is proposed. The o- verall framework of power distribution equipment is established. Then, the image information of power distribution e- quipment is collected, and the power distribution equipment is used for photograph and self- positioning. The work- ing principle of GPS receiver is introduced. On the basis of sequential similarity detection algorithm, exterior defects and external risks of collected image in power distribution equipment are identified. Combined with condition monito- ring, defect diagnosis and data mining technology, the actual state of power distribution equipment is determined. Thus, the optimal detection of power distribution equipment fault is realized. Simulation results show that the pro- posed method has high detection accuracy and the operation stability of power grid equipment is enhanced.
出处
《计算机仿真》
北大核心
2018年第2期67-70,共4页
Computer Simulation
关键词
电网
配电设备
故障检测
Power grid
Distribution equipment
Fault detection
