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作 者:李晋强 LI Jinqiang(Shanxi Jinyuan Electric Chemical Cleaning Center Co.,Ltd.,Taiyuan 030006,China)
机构地区:[1]山西晋缘电力化学清洗中心有限公司,山西太原030006
出 处:《电工技术》2025年第1期126-129,共4页Electric Engineering
摘 要:电气设备的绝缘缺陷或故障可能引起温升过大或局部放电,因此可作为电气设备绝缘状态的判据,然而现有的检测方法无法满足现代变电站安全稳定运行的要求。为此,研究了红外光电传感器温度随探测距离变化的特性,进而得到最佳探测距离;分析了紫外光电传感器输出脉冲信号与放电强度的关系以及脉冲信号随传播距离增加的衰减特性,选取了最佳放置位置,构建了基于红外光电和紫外光电传感技术的电气设备绝缘缺陷检测系统。基于自适应模糊神经网络,通过红外光电传感器和紫外光电传感器的信号综合判断电气设备的绝缘状态。试验结果表明,通过红外光电传感器与紫外光电传感器联合检测,再进行信息融合诊断,可以有效减少单一传感器的信息片面而造成的误判,显著提高故障诊断准确率。Insulation defects or faults of electrical equipment may cause excessive temperature rise or partial discharge,which can be used as a judgment of the insulation state of electrical equipment.However,the existing detection methods cannot meet the requirements of safe and stable operation of modern substations.To this end,the characteristics of the infrared photoelectric sensor temperature change with the detection distance are studied,and then the optimal detection distance is obtained;the relationship between the output pulse signal of the ultraviolet photoelectric sensor and the discharge intensity is analyzed,as well as the attenuation characteristics of the pulse signal with the increase of the propagation distance,and the optimal placement position is selected,so that the electrical equipment insulation defect detection system based on the infrared photoelectric and ultraviolet photoelectric sensing technology is constructed.Based on the adaptive fuzzy neural network,the insulation status of electrical equipment is comprehensively judged by the signals of infrared photoelectric sensor and ultraviolet photoelectric sensor.The experimental results show that through the joint detection of infrared and ultraviolet photoelectric sensors,and then information fusion diagnosis,it can effectively reduce the misjudgment caused by a single sensor due to one-sided information,and the accuracy of fault diagnosis is significantly improved.
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