高压电缆缓冲层烧蚀气体红外光谱分析方法OA
Infrared spectroscopic analysis of ablative gases in the buffer layer of high-voltage cables
高压电缆缓冲层烧蚀缺陷是导致电力电缆故障的重要原因.缓冲层烧蚀会释放气体,释放气体的成分及浓度能够表征缓冲层的烧蚀缺陷程度.傅里叶变换红外光谱技术应用于缓冲层烧蚀气体分析时具有快速、灵敏、无损的独特优势.针对缓冲层烧蚀气体检测存在的噪声影响、基线漂移及交叉干扰问题,文中提出一种高压电缆缓冲层烧蚀气体红外光谱分析方法,以CH4、C2H6、C2H4 作为特征气体,分别通过标准浓度气体分析和烧蚀特征气体分析实验对该方法进行验证.实验结果表明,3种特征气体浓度与缓冲层烧蚀缺陷有关,所提方法可从红外光谱中精准分析特征气体的浓度.混合气体中CH4、C2H6、C2H4的相对误差分别为8.90%、17.60%和4.32%,检测周期小于15s.文中方法为快速、高精度诊断高压电缆缓冲层烧蚀缺陷提供了关键技术支撑.
Ablative defects in the buffer layer of high-voltage cables are important causes of power cable failures.Buffer layer ablation releases gases,and some components of these gases and their concentrations can characterize the degree of buffer layer ablation defects.Fourier transform infrared spectroscopy for buffer layer ablation gas analysis has the unique advantages of speed,sensitivity,and non-destructiveness.To address the challenges in the detection of gases from high-voltage cable buffer layer ablation,namely noise interference,baseline drift and cross-interference,a buffer layer ablation gas Fourier transform infrared spectroscopy analysis method is proposed.The proposed method is validated by standard concentration gas analysis and ablation characteristic gas analysis experiments,using CH4,C2H6 and C2H4 as characteristic gases.The experimental results show that the three characteristic gas concentrations are related to the buffer layer ablation defects,and the proposed method can accurately analyze the concentration of the characteristic gases from infrared spectra,with relative errors of 8.90%,17.60%and 4.32%for CH4,C2H6 and C2H4 in mixed gas,and the detection period is less than 15 s.This method can provide critical technical support for rapid,high-precision diagnosis of buffer layer ablation defects in high-voltage cables.
门业堃;任志刚;郭卫;陈平;汤晓君;王诗航
国网北京市电力公司电力科学研究院,北京 100075国网北京市电力公司电力科学研究院,北京 100075国网北京市电力公司电力科学研究院,北京 100075国网北京市电力公司电力科学研究院,北京 100075西安交通大学(电工材料电气绝缘全国重点实验室),陕西 西安 710049||西安交通大学仪器科学与技术学院,陕西 西安 710049西安交通大学(电工材料电气绝缘全国重点实验室),陕西 西安 710049
信息技术与安全科学
高压电缆烧蚀红外光谱噪声基线漂移交叉干扰特征气体
high-voltage cablesablationinfrared spectroscopynoisebaseline driftcross-interferencecharacteristic gases
《电力工程技术》 2026 (2)
93-100,8
国家自然科学基金资助项目(U2066204)国家电网有限公司科技项目(520223230014)
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