摘要
为了提高低压电缆故障在线检测能力,提出展频时域反射技术SSTDR的低压电缆故障在线检测方法。采用多传感器进行低压电缆故障信息采样,构造低压电缆故障在线监测的大数据分析模型,结合展频时域反射技术进行低压电缆故障样本信息融合,建立低压电缆故障信号的多维谱特征提取模型,通过模糊聚类分析方法进行低压电缆故障特征数据融合处理,根据信息融合结果进行低压电缆故障在线检测,采用SSTDR技术对检测输出结果进行自适应寻优控制,提高低压电缆故障在线检测的精准性。仿真结果表明,采用该方法进行低压电缆故障在线检测的准确性较高,自适应性较好,提高了低压电缆故障在线检测能力。
In order to improve the on-line detection capability of low-voltage cable,an on-line detection method of low-voltage cable with spread spectrum time Domain Reflectometry(SSTDR)is proposed.the low-voltage cable fault information sampling is carried out by adopting a multi-sensor,a large data analysis model for on-line monitoring of the low-voltage cable fault is constructed,the low-voltage cable fault sample information fusion is carried out in combination with the spread-frequency time-domain reflection technology,a multi-dimensional spectrum feature extraction model of a low-voltage cable fault signal is established,The low-voltage cable fault characteristic data fusion processing is carried out through the fuzzy clustering analysis method,the low-voltage cable fault on-line detection is carried out according to the information fusion result,and the SSTDR technology is adopted to carry out self-adaptive optimization control on the detection output result,and the accuracy of the on-line detection of the low-voltage cable fault is improved.The simulation results show that the method is high in accuracy and good in adaptability,and the on-line detection capability of low-voltage cable is improved.
作者
鲜成
赵法强
唐伟登
邵帅
XIAN Cheng;ZHAO Fa-qiang;TANG Wei-deng;SHAO Shuai(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518001,China;South China University of Technology,School of Electronic and Information Engineering,Guangzhou 510641,China)
出处
《新一代信息技术》
2019年第21期84-88,共5页
New Generation of Information Technology
基金
深圳供电局有限公司科技项目“低压线路运行绝缘隐患带电检测与定位关键技术研究”(项目编号:SZKJXM20190001)。
