【摘要】 研究了基于Hilbert-Huang变换的天然气管道泄漏检测方法。该方法利用Hilbert边际谱的能量变化来研究远距离传播后管道泄漏声信号的频带特征,然后通过实时监测特征频带内信号的Hilbert谱与正常信号相比是否发生明显变化来判断其中是否含有泄漏声波,最后根据管道两端检测到泄漏声波的时间差进行定位。基于实际管道历史数据的在线测试结果验证了算法的有效性。更多还原

【Abstract】 In this paper,an algorithm for gas pipeline leak detection based on Hilbert-Huang transform is studied.The characteristics of the leaked acoustic signal in frequency domain can be analyzed by computing and comparing the before-and-after fluctuations of the energy of Hilbert marginal spectrum.The method judges whether the leak occurs or not by comparing the Hilbert spectrums of current signal with normal signal in the sensitive frequency band,and then locates leak according to the time difference of the leak acoustics arriving in the upstream and downstream ends.Off-line tests based on real history data of industrial pipeline proved the validity of the method.更多还原