文章摘要
孙凌逸,黄先祥,蔡伟,杨志勇.基于经验模态分解的超声波管外测压信号去噪[J].声学技术,2011,(5):427~431
基于经验模态分解的超声波管外测压信号去噪
An EMD-based signal de-noising method for ultrasonic pressure measurement outside pipeline
投稿时间:2010-10-19  修订日期:2011-01-18
DOI:
中文关键词: 经验模态分解  超声波  管外测压  去噪
英文关键词: empirical mode decomposition  ultrasonic  pressure measurement outside pipeline  de-noising
基金项目:
作者单位E-mail
孙凌逸  sunlyi79@163.com 
黄先祥   
蔡伟   
杨志勇   
摘要点击次数: 1319
全文下载次数: 1236
中文摘要:
      在超声波管外测压中,回波信号往往受到噪声的干扰,所以在提取信号特征时,需对回波信号进行去噪。提出了一种基于经验模态分解(EMD)的超声波信号去噪方法,首先利用EMD求出信号的本征模态函数(IMF),然后通过对比分析,利用反映信号主要特征的模态分量对信号进行重构以实现去噪。实验结果表明,该方法能够有效地去除噪声,提高超声回波信号的信噪比。
英文摘要:
      In ultrasonic pressure measurement outside pipeline,echo signal is disturbed by electronic noise,structure noise and so on.Before analysis,the ultrasonic echo signal should be de-noised to get better results.In this paper,a de-noising method of ultrasonic signal based on empirical mode decomposition(EMD) is proposed.Firstly,the original ultrasonic signal is decomposed into a finite number of intrinsic mode functions(IMF) by EMD,then the modes re-flecting the important features of the signal are combined together to reconstruct the de-noised signal.The experimental results show that this method has better performance in removing the noise and enhancing the signal-to-noise ratio(SNR) of ultrasonic echo signal.
查看全文   查看/发表评论  下载PDF阅读器
关闭