小波技术在氧化锌避雷器泄漏电流在线检测中的应用

为提高氧化锌避雷器泄漏电流的测试准确度，以确保设备故障诊断中的有效性和可靠性，采用小波技术对现场信号进行消噪处理，对消噪后的信号，利用信号的相关分析推算出阻性基波泄漏电流，仿真结果表明：与传统的信号分析方法相比，小波分析技术不仅能众噪声中准确提取待测泄漏电流信号，同时又可真实复现泄漏电流信号中的劣化特征，这对设备的早期故障诊断具有重要意义。相关分析的应用，则显著提高了测量的准确度，增强了设备故障诊断的准确性。

Application of Wavelet Transformation on On-Line Measurement of Leakage Current of Zinc-Oxide Lightning Arresters

In order to improve the measurement accuracy of leakage current of zinc-oxide lightning arresters to ensure the validity and reliability of false diagnosis for the equipment, the wavelet transformation is applied to eliminate the noise in the test signal. Then the correlation analysis is applied to compute the resistive fundamental harmonic leakage current. The simulation results show that, comparing with the traditional signal processing method, the wavelet transformation can pick up the leakage current from noise satisfactorily, and furthermore, it can reproduce the vicious character in leakage current signal accurately, which is important for early fault diagnosis of equipment. By applying the correlation analysis, the measurement accuracy is highly improved, which ensures the reliability of the false diagnosis for equipments.