改进小波阈值去噪法在管道泄漏检测中的应用

Application of Improved Wavelet Threshold De-noising Method in Pipeline Leakage Detection

基于负压波式的管道泄漏检测方法中,需要解决的核心问题之一是对负压波信号的去噪。在分析了利用小波变换理论与小波阈值去噪的基础上,对传统的硬阈值和软阈值函数、双曲型和指数型函数与改进的阈值函数算法进行了对比。实验表明,改进算法在处理管道泄漏检测中,对检测的负压波信号能够获得较大的信噪比,具有较好的去噪能力,能有效提高泄漏检测精度。

Negative pressure wave signal denoising is one of the core issues to be solved in pipeline leakage detection method based on negative pressure wave. A comparison among traditional hard and soft threshold function,hyperbolic and exponential algorithm and improved algorithm has been made on the basis of analyzing wavelet transform theory and wavelet threshold denoising. The results of experiment show that improved algorithm used in pipeline leakage detection processing could obtain a larger SNR（ signal to noise ratio） and a good denoising ability for negative pressure wave signal,which could effectively improve leakage detection accuracy.