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奇异值能量标准谱在机械振动信号降噪中的应用研究

刘敏 张英堂 李志宁 陈建伟 尹刚

刘敏, 张英堂, 李志宁, 陈建伟, 尹刚. 奇异值能量标准谱在机械振动信号降噪中的应用研究[J]. 机械科学与技术, 2017, 36(1): 46-51. doi: 10.13433/j.cnki.1003-8728.2017.0107
引用本文: 刘敏, 张英堂, 李志宁, 陈建伟, 尹刚. 奇异值能量标准谱在机械振动信号降噪中的应用研究[J]. 机械科学与技术, 2017, 36(1): 46-51. doi: 10.13433/j.cnki.1003-8728.2017.0107
Liu Min, Zhang Yingtang, Li Zhining, Chen Jianwei, Yin Gang. Application of Singular Value Energy Standard Spectrum in Noise Reduction of Mechanical Vibration Signal[J]. Mechanical Science and Technology for Aerospace Engineering, 2017, 36(1): 46-51. doi: 10.13433/j.cnki.1003-8728.2017.0107
Citation: Liu Min, Zhang Yingtang, Li Zhining, Chen Jianwei, Yin Gang. Application of Singular Value Energy Standard Spectrum in Noise Reduction of Mechanical Vibration Signal[J]. Mechanical Science and Technology for Aerospace Engineering, 2017, 36(1): 46-51. doi: 10.13433/j.cnki.1003-8728.2017.0107

奇异值能量标准谱在机械振动信号降噪中的应用研究

doi: 10.13433/j.cnki.1003-8728.2017.0107
基金项目: 

国家自然科学基金项目(51305454)资助

详细信息
    作者简介:

    刘敏(1990-),硕士研究生,研究方向为信号处理与故障诊断,hunter1848@163.com

    通讯作者:

    张英堂(联系人),教授,博士,zyt01@mails.tsinghua.edu.cn

Application of Singular Value Energy Standard Spectrum in Noise Reduction of Mechanical Vibration Signal

  • 摘要: 针对机械设备振动信号的宽频带、非线性和非平稳特性,提出了一种基于奇异值能量标准谱的自适应降噪方法。首先利用平均最近邻域发散度判定法计算嵌入维数并对信号进行相空间重构,然后对相空间重构矩阵进行奇异值分解,最后提出奇异值能量标准谱概念,根据能量标准谱拐点位置自适应地确定奇异值的重构阶数以重构有用分量,从而实现信号降噪。数值仿真和柴油机缸盖振动信号分析结果表明,本方法能够有效消除信号中的噪声并保留原信号的特征,提高信噪比。
  • [1] 徐峰,刘云飞.基于中值滤波-奇异值分解的胶合板拉伸声发射信号降噪方法研究[J].振动与冲击,2011,30(12):135-140 Xu F, Liu Y F. Noise reduction of acoustic emission signals in a plywood based on median filtering-singular value decomposition[J]. Journal of Vibration and Shock, 2011,30(12):135-140(in Chinese)
    [2] 邱爱中.基于平衡正交多小波的信号降噪方法研究[J].机械科学与技术,2012,31(6):996-998 Qiu A Z. The study on the denoising method based on balance orthogonal multiwavelet[J]. Mechanical Science and Technology for Aerospace Engineering, 2012,31(6):996-998(in Chinese)
    [3] 吕建新,吴虎胜,田杰.EEMD的非平稳信号降噪及其故障诊断应用[J].计算机工程与应用,2011,47(28):223-227 Lv J X, Wu H S, Tian J. Signal denoising based on EEMD for non-stationary signals and its application in fault diagnosis[J]. Computer Engineering and Applications, 2011,47(28):223-227(in Chinese)
    [4] 王超,孔凡让,黄伟国,等.改进的奇异值分解在轴承故障诊断中的应用[J].振动工程学报,2014,27(2):296-303 Wang C, Kong F R, Huang W G, et al. Application of improved singular value decomposition in bearing fault diagnosis[J]. Journal of Vibration Engineering, 2014,27(2):296-303(in Chinese)
    [5] 杨望灿,张培林,王怀光,等.基于奇异值差分谱与改进包络分析的轴承故障特征提取[J].轴承,2013,(5):49-53 Yang W C, Zhang P L, Wang H G, et al. Bearing fault feature extraction based on difference spectrum of singular value and improved envelope analysis[J]. Bearing, 2013,(5):49-53(in Chinese)
    [6] 陈铿,韩伯棠.混沌时间序列分析中的相空间重构技术综述[J].计算机科学,2005,32(4):67-70 Chen K, Han B T. A survey of state space reconstruction of chaotic time series analysis[J]. Computer Science, 2013,32(5):67-70(in Chinese)
    [7] Kennel M B, Brown R, Abarbanel H D I. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Physical Review A, 1992,45(6):3403-3411
    [8] Broomhead D S, King G P. Extracting qualitative dynamics from experimental data[J]. Physica D:Nonlinear Phenomena, 1986,20(2-3):217-236
    [9] 付胜,徐斌,杜晓帆,等.基于奇异值分解和支持向量机的齿轮故障诊断[J].机械传动,2013,37(9):90-92,102 Fu S, Xu B, Du X F, et al. Gear fault diagnosis based on singular value decomposition and support vector machine[J]. Journal of Mechanical Transmission, 2013,37(9):90-92,102(in Chinese)
    [10] 王太勇,王正英,胥永刚,等.基于SVD降噪的经验模式分解及其工程应用[J].振动与冲击,2005,24(4):96-98 Wang T Y, Wang Z Y, Xu Y G, et al. Empirical mode decomposition and ITS engineering applications based on SVD denoising[J]. Journal of Vibration and Shock, 2005,24(4):96-98(in Chinese)
    [11] 雷达,钟诗胜.基于奇异值分解和经验模态分解的航空发动机健康信号降噪[J].吉林大学学报(工学版),2013,43(3):764-770 Lei D, Zhong S S. Aircraft engine health signal denoising based on singular value decomposition and empirical mode decomposition methods[J]. Journal of Jilin University (Engineering and Technology Edition), 2013,43(3):764-770(in Chinese)
    [12] 靳伍银,刘昊,张弛,等.非线性时间序列的相空间重构参数估计的新算法[J].兰州理工大学学报,2009,35(4):163-165 Jin W Y, Liu H, Zhang C, et al. A new algorithm for estimation of parameters of phase space reconstruction for nonlinear time series[J]. Journal of Lanzhou University of Technology, 2009,35(4):163-165(in Chinese)
    [13] 肖云魁,李世义,曹亚娟,等.汽车传动轴振动信号分形维数计算[J].振动、测试与诊断,2005,25(1):43-47 Xiao Y K, Li S Y, Cao Y J, et al. Study on chaotic behavior of vibration signal of automotive transmission shaft[J]. Journal of Vibration, Measurement & Diagnosis, 2005,25(1):43-47(in Chinese)
    [14] 刘岩,王金东,郭建华,等.基于参量优化的多变量相空间重构方法[J].机械传动,2013,37(6):5-7 Liu Y, Wang J D, Guo J H, et al. Method of phase space reconstruction of multivariate data based on parameters optimization[J]. Journal of Mechanical Transmission, 2013,36(6):5-7(in Chinese)
    [15] 程利军.基于阶比跟踪的发动机在线监测及故障诊断研究[D].石家庄:军械工程学院,2012:107-108 Cheng L J. Research on Engine On-Line conndition monitoring and fault diagnosis based on order tracking[D]. Shijiazhuang:Ordnance Engineering College, 2012:107-108(in Chinese)
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出版历程
  • 收稿日期:  2015-05-10
  • 刊出日期:  2017-01-16

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