摘要
红外与紫外一体化变电设备故障检测技术已经被广泛的应用于变电设备的检测和故障诊断中,能够及时发现变电设备故障。本次研究通过对红外与紫外一体化变电设备故障检测系统进行分析,将研究成果应用到变电设备故障诊断中,提高用电系统的稳定性。利用图像分割方法设计了适用于变电设备红外图像的分割算法,结合最大类间方差和红外图像技术急性研究,试验结果表明:这种方法比较适合应用于红外与紫外一体化变电设备故障检测系统的设计中,能够有效提高设计效果。实际应用表明,本文设计的变电设备故障检测系统能够很好地解决了变电设备红外图像自动分析问题,通过对电气设备的检测,能够及时发现系统运行中存在的故障问题,从而及时的发现问题,并给出解决问题的措施,减少不必要的电力故障的出现,间接降低了不必要的经济损失。
The fault detection technology of infrared and uhraviolet integrated substation equipment has been widely used in the detection and fault diagnosis of substation equipment. In this study, the fault detection system of the infrared and ultraviolet integrated sub- station equipment is analyzed, and the research results are applied to the fault diagnosis of substation equipment to improve the stability of power system. The segmentation algorithm is applied to the design of substation equipment infrared image using image segmentation method combining OTSU and infrared image technology in acute studies, the experimental results indicate that this method is suitable for application in design of ultraviolet and infrared integrated substation equipment fault detection system, can effectively improve the design effect. The practical application shows that the substation equipment fault detection system designed in this paper can become automatic a- nalysis of electrical equipment infrared image very good solution, through the detection of electrical equipment, can discover problems existing in the operation of the system, so as to find the problem, and gives the measures to solve the problem, reduce unnecessary power failure the indirect reduce unnecessary economic losses.
出处
《自动化与仪器仪表》
2017年第12期114-116,共3页
Automation & Instrumentation
关键词
红外
紫外
一体化
变电设备
故障检测系统
infrared
ultraviolet
integration
substation equipment
fault detection system
