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.
出处
《电网技术》
EI
CSCD
北大核心
2005年第11期69-72,共4页
Power System Technology
