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A novel redundant haar lifting wavelet analysis based fault detection and location technique for telephone transmission lines

机译:基于新的冗余haar提升小波分析的电话传输线故障检测与定位技术

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摘要

The redundant lifting scheme is a perfect tool for wavelet decomposition and reconstruction conducted in the time domain without decimation procedure. In this paper based on the redundant haar lifting wavelet analysis and time domain reflectometry (RHLW-TDR) a novel fault detection scheme is introduced to detect the fault of the telephone transmission lines. The fault time tags are extracted directly from the wavelet detail coefficients. Furthermore, the proposed algorithm is improved to adaptive morphological redundant haar lifting wavelet analysis based time domain reflectometry (AMRHLW-TDR). Comparing to the conventional wavelet based TDR technique, the simulation test and practical experiment results verified the accuracy and convenience enhancement of the proposed methodology and its improved version.
机译:冗余提升方案是在不进行抽取过程的情况下进行时域小波分解和重构的理想工具。本文基于冗余Haar提升小波分析和时域反射仪(RHLW-TDR),提出了一种新颖的故障检测方案,以检测电话传输线的故障。故障时间标签直接从小波细节系数中提取。此外,将所提出的算法改进为基于时域反射法的自适应形态学冗余哈尔提升小波分析(AMRHLW-TDR)。仿真测试和实际实验结果表明,与传统的基于小波的TDR技术相比,该方法及其改进版本具有较高的准确性和便利性。

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