基于提升小波的管道安全系统信号特征提取方法

Lifting wavelet based fast signal feature extraction method for pipeline leakage detection and pre-warning system

研究了一种基于提升小波并用于管道泄漏检测和预警系统的信号特征快速提取方法。该预警系统基于Mach-Zehnder光纤干涉仪原理,沿管道同沟敷设一条光缆,实时监测管道沿途发生的泄漏及其他异常事件。通过基于提升小波的信号特征提取方法对管道沿线异常事件引起的振动信号进行特征提取和辨别。利用现场实验得到的信号对该方法进行验证,结果表明:该方法不仅可有效提取检测信号特征,还相对于基于传统小波的类似方法节省了计算时间。

A lifting wavelet based fast signal feature extraction method, which is used in pipeline leakage detection and pre-warning system is studied. This pre-warning system based on the principle of Mach-Zehnder optical fiber interferometer, an optical cable is laid along the pipeline in the same ditch. Leakage and other abnormal events along the pipeline can be detected by the system in real-time. By the lifting wavelet based fast signal feature extraction method, the vibration signals led by abnormal events identified and the feature can be extracted. The method can not only detect signals characteristics effectively but also save calculation time compared to similar methods based on traditional wavelets,which are proved by the signals obtained in situ.