工频干扰振动信号的建模与分离处理
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摘要
针对钻井泵振动测试过程中遇到的工频干扰,采用信号的基元分段方法进行测试信号的合理分段处理,结合最优频率匹配法实现分段后干扰信号的建模分析。在此基础上提出振动信号的匹配滤波法,实现干扰信号与钻井泵振动信号的匹配滤波分离。实践表明,最优频率匹配法可以实现各种信号的数学建模,是一种通用性的信号建模处理有效的新方法,而且建立在该方法基础上的匹配滤波法也可以较为完整、合理地分离各种时、频域混叠信号,是一种适应性强的信号滤波处理新方法。
For drilling pump vibration frequency interference during testing,the rational segmentation of measuring signal is achieved by basic operation unit(BOU) method and the modeling analysis of the interference signals after subsection is realized by optimal frequency matching method(OFMM).Based on above work,the matching filtering method of vibration signal is put forward,and the matching filter separation of interference signal from drilling pump vibration signal is successfully accomplished.It is shown that OFMM is a new general processing method,which can construct different kinds of signals,modeling.Matching filter method basing on OFMM is a kind of new and adaptable signal filtering processing method which can also separate time and frequency domain signals relatively and completely.
For drilling pump vibration frequency interference during testing,the rational segmentation of measuring signal is achieved by basic operation unit(BOU) method and the modeling analysis of the interference signals after subsection is realized by optimal frequency matching method(OFMM).Based on above work,the matching filtering method of vibration signal is put forward,and the matching filter separation of interference signal from drilling pump vibration signal is successfully accomplished.It is shown that OFMM is a new general processing method,which can construct different kinds of signals,modeling.Matching filter method basing on OFMM is a kind of new and adaptable signal filtering processing method which can also separate time and frequency domain signals relatively and completely.
引文
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[2]陈一平,李彦鹏.一种去除雷达信号中噪声调制压制性干扰的新方法[J].电子信息对抗技术,2006,21(3):25-28.
[3]王健,刘祖望,曾建国.与激励信号相位相关干扰背景下信号的测量[J].传感器与微系统,2007,26(3):73-75,79.
[4]毕新强,郭瑜,李阳,郑华文.基于独立分量分析的振动信号中工频干扰消除[J].昆明理工大学学报(理工版),2009,34(3):24-28.
[5]吴小培,詹长安,周荷琴,冯焕清.采用独立分量分析方法消除信号中的工频干扰[J].中国科学技术大学学报,30(6):671-676,638.
[6]李红星,陶春辉,刘财,邓显明,周建平,张金辉,顾春华,何拥华.多频海底声学原位测试信号消除干扰研究[J].吉林大学学报(地球科学版),2007,37(5):1034-1037.
[7]唐志国,王彩雄,陈金祥,吴文宣,李成榕.局部放电UHF脉冲干扰的排除与信号的聚类分析[J].高压电技术,2009,35(5):1026-1031.
[8]刘志武,罗自力,秦志强.心电信号中的工频干扰的对消(基于自适应信号处理方法)[J].医疗装备,2011,(2):19-20.
[9]胡智慧,党国营,李政光.抑制局部放电信号窄带干扰的快速算法[J].广东电力,2009,22(1):30-34.
[10]田小平,丁玉美,高西全.数字地震信号中长周期随机干扰的消除[J].信号处理,1999,15(1):93-97.
[11]赵荣珍,张优云.转子强脉冲干扰非线性信号的混合滤波方法研究[J].兰州理工大学学报,2005,31(1):46-49.
[12]吕苗荣,古德生,彭振斌.语音信号基本处理单元的选择与应用[C].通信理论与技术新发展—第十二届全国青年通信学术会议论文基(上册),2007,8:736-743.
[13]吕苗荣,周琳,王丽,马玉明,等.石油工程准周期性振动信号的新处理方法[J].石油钻探技术,2009,37(5):89-92.
[14]吕苗荣,古德生,采用最优频率匹配法实现信号的频段滤波处理[J].物探化探计算技术,2004,27(2):166-170.
[15]吕苗荣,古德生.用最优频率匹配法提取地层层析噪声和去噪处理[J].中国矿业,2003(12):25-28.
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