摘要
输气管道泄漏音波信号在传播过程中高频部分迅速衰减,低频部分能传播较远的距离。根据这一特点拟合仿真信号模型,以信噪比和均方根误差为指标对傅里叶变换、维纳滤波、中值滤波和小波分析进行对比分析,结果表明:小波分析去除背景噪声具有较高的信噪比和较小的均方根误差,中值滤波次之,维纳滤波和傅里叶变换最差。
The high-frequency of acoustic leak signal attenuates when in transmission , while the low-frequency can travel a far way. This paper fits a simulation model of acoustic leakage signal in gas pipeline according to this feature, compares and a- nalysis FFT, wiener filtering , median filtering and wavelet analysis using rms and rmse as parameters based on this model. Re- sult shows background noise decreasing using wavelet analysis have the highest rms and lowest rmse, wiener filtering is seconda- ry, median filtering and Fb3" is the worst.
出处
《钦州学院学报》
2013年第8期29-33,共5页
Journal of Qinzhou University
基金
2013年钦州学院校级青年科研项目:长输气管道泄漏检测音波信号处理技术的研究(2013XJKY-51Q)
关键词
输气管道
泄漏检测
滤波算法
小波分析
gas pipeline
leak detection
filtering algorithm
wavelet analysis