杨正益,刘博文,任山,衡柟男.一种改进的形态-小波阈值降噪方法[J].计算机科学,2018,45(5):300-302, 316
一种改进的形态-小波阈值降噪方法
Improved Morphological-wavelet Threshold De-noising Method
投稿时间:2017-02-13  修订日期:2017-04-20
DOI:10.11896/j.issn.1002-137X.2018.05.052
中文关键词:  信号处理,形态滤波,小波阈值滤波,形态-小波滤波
英文关键词:Signal processing,Morphological filter,Wavelet threshold filtering,Morphological-wavelet threshold filter
基金项目:本文受国家自然科学基金面上项目(11372364),国家自然科学基金青年基金(61602070)资助
作者单位E-mail
杨正益 重庆大学软件学院 重庆401331 zyyang@cqu.edu.cn 
刘博文 重庆大学软件学院 重庆401331 q465124657@163.com 
任山 重庆大学软件学院 重庆401331  
衡柟男 重庆大学软件学院 重庆401331 1838310042@qq.com 
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中文摘要:
      现场采集的旋转机械振动信号中一般存在强脉冲干扰和白噪声,小波阈值滤波对白噪声的滤波效果好,但对脉冲干扰的滤除效果不佳,而形态滤波虽然可以有效地剔除脉冲干扰,但不易滤除白噪声。针对这些问题,提出了一种基于形态滤波和改进的小波阈值滤波相结合的综合滤波方法。该滤波方法结合了两种滤波方法的优点,能够同时有效地滤除旋转机械振动信号中的脉冲干扰和白噪声。通过仿真信号和现场采集的转子振动信号进行了实验验证,结果表明,形态滤波与改进的小波阈值滤波相结合的滤波方法很好地滤除了转子振动信号中的噪声成分,进而提取出淹没在噪声中的转子振动信号。
英文摘要:
      Vibration signals of rotating machinery acquired on the field are usually accompanied with impulse and white noise.Wavelet threshold de-noising is effective for filtering white noise but ineffective in filtering impulse noise,and morphological filter can effectively remove impulse noise but it is difficult for filtering white noise.An integrated filter based on morphological de-noising and wavelet threshold de-noising was proposed to efficiently purify the corrupted vibration signals of rotating machinery.The proposed filter algorithm presents the combined advantages of both morphological and wavelet filters,and it can simultaneously filter both impulse and white noises in the rotor vibration signal.Based on the vibration signals of rotating machinery acquired in field and simulation results,the integrated filter which is composed of a morphological filter followed by an improved wavelet threshold filter presents a decent de-noising result,and extracts the rotor vibration signal submerged in the noise.The efficiency of the filter is experimentally demonstrated compared with the previously reported filters.
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