基于小波变换的信号相关技术在电力电缆故障测距中的应用  

APPLICATION OF WAVELET TRANSFORM BASED SIGNAL CORRELATION TECHNIQUE IN FAULT LOCATION OF POWER CABLE

作　　者：韩伟[1] 吴杰[1] 

机构地区：[1]燕山大学电气工程学院,河北省秦皇岛市066004

出　　处：《电网技术》2005年第11期69-72,共4页Power System Technology

摘　　要：提出了一种基于小波分解的信号相关技术。针对以往应用冲闪法的电力电缆故障测距技术普遍存在故障时刻检测不准确的问题,提出将小波分解与信号相关技术相结合,先对采集到的信号进行多层小波分解,去掉低频信号中的高频分量,应用信号相关技术计算出粗略的奇异点,然后运用搜索模极大值线的方法找到高频分量中的奇异点,从而得到精确的脉冲到达时刻。数字仿真结果验证了该方法的有效性。To solve the problem that the inaccuracy of fault time detection is ubiquitous when the impulse method is applied to power cable fault location, the authors propose a signal correlation technique based on wavelet transform, that is, firstly combining the wavelet decomposition with signal correlation, the multi-layer wavelet decomposition is applied to the acquired signal and the high frequency component of the processed signal is removed, and the coarse singular point of the remained low frequency signal is calculated by signal correlation, then the singular point in the high frequency component is found out by searching modulus maximum line, thereby the accurate time of pulse arrival is obtained. The effectiveness of the proposed method is verified by simulation results.

关 键 词：相关技术 应用 故障测距 电力电缆 小波变换 小波分解 高频分量 故障时刻 测距技术 电缆故障 低频信号 技术计算 模极大值 仿真结果 奇异点 测不准 

分 类 号：TM855[电气工程—高电压与绝缘技术] TP393[自动化与计算机技术—计算机应用技术]