ISSN 0253-2778

CN 34-1054/N

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Information fusion of accelerometers based on the MEMD and holo-spectrum technology

  • 1.

    School of Electronic and Information Engineering, Hefei Normal University, Hefei 230601, China

  • 2.

    Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2016.08.012
  • Received Date: 31 March 2016
  • Accepted Date: 16 July 2016
  • Rev Recd Date: 16 July 2016
  • Publish Date: 30 August 2016
    Abstract

  • Abstract

    Aiming at the coupling in the multi-channel signals measured by accelerometer, a method based on the multivariate empirical mode decomposition (MEMD) and holo-spectrum technology was put forward. Firstly, the MEMD method adaptively decomposed the multi-channel signals into many intrinsic mode functions(IMFs). Then the working frequency IMFs were selected for holo-spectrum analysis and the two-dimensional holo-spectrum and holo-waterfall-plot were obtained, from which the amplitude and direction of the vibration shape can be reflected visually and the vibration modal characteristics can be better analyzed. Finally this method was applied in the vibration analysis of forklift trucks steering wheel. The result proves the correctness and effectiveness of this method.

    Abstract

    Aiming at the coupling in the multi-channel signals measured by accelerometer, a method based on the multivariate empirical mode decomposition (MEMD) and holo-spectrum technology was put forward. Firstly, the MEMD method adaptively decomposed the multi-channel signals into many intrinsic mode functions(IMFs). Then the working frequency IMFs were selected for holo-spectrum analysis and the two-dimensional holo-spectrum and holo-waterfall-plot were obtained, from which the amplitude and direction of the vibration shape can be reflected visually and the vibration modal characteristics can be better analyzed. Finally this method was applied in the vibration analysis of forklift trucks steering wheel. The result proves the correctness and effectiveness of this method.
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    • References(7)
  • [1]
    吴峰崎，孟光，荆建平.基于加速度信号全谱分析的转子碰摩故障特征提取实验研究[J]. 振动与冲击, 2006, 25(2): 44-47.
    WU Fengqi, MENG Guang, JING Jianping. Feature extraction based on acceleration signals full spectrum analysis for compound rub malfunctions of rotor[J]. Journal of Vibration and Shock, 2006, 25(2): 44-47.
    [2]
    HUANG N E, SHEN Z, LONG S R. A new view of nonlinear water waves: The Hilbert spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31: 417-457.
    [3]
    HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A:Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995.
    [4]
    REHMAN N, MANDIC D P. Multivariate empirical mode decomposition[J]. Proceedings of the Royal Society A: Mathematical,Physical and Engineering Sciences, 2010, 466(2117): 1 291-1 302.
    [5]
    REHMAN N U, XIA Y, MANDIC D P, et al. Application of multivariate empirical mode decomposition for seizure detection in EEG signals[C]// 2010 Annual International Conference of the IEEE: Engineering in Medicine and Biology Society. Piscataway: IEEE Press,2010: 1 650-1 653.
    [6]
    胡彦红，张雷，林建中，等. 基于全息谱的转子系统故障诊断分析[J]. 振动与冲击, 2009, 28(12): 164-166.
    HU Yanhong, ZHANG Lei, LIN Jianzhong, et al. Diagnosis analysis of rotor system based on holo-spectrum[J]. Journal of Vibration and Shock, 2009, 28(12): 164-166.
    [7]
    屈梁生，史东锋. 全息谱十年:回顾与展望[J]. 振动、测试与诊断, 1998, 18(4): 235-242.
    QU Liangsheng, SHI Dongfeng. Holo-spectrum during the past decade: Review & prospect[J]. Journal of Vibration, Measurement & Diagnosis, 1998, 18(4): 235-242.
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    [1]
    吴峰崎，孟光，荆建平.基于加速度信号全谱分析的转子碰摩故障特征提取实验研究[J]. 振动与冲击, 2006, 25(2): 44-47.
    WU Fengqi, MENG Guang, JING Jianping. Feature extraction based on acceleration signals full spectrum analysis for compound rub malfunctions of rotor[J]. Journal of Vibration and Shock, 2006, 25(2): 44-47.
    [2]
    HUANG N E, SHEN Z, LONG S R. A new view of nonlinear water waves: The Hilbert spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31: 417-457.
    [3]
    HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A:Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995.
    [4]
    REHMAN N, MANDIC D P. Multivariate empirical mode decomposition[J]. Proceedings of the Royal Society A: Mathematical,Physical and Engineering Sciences, 2010, 466(2117): 1 291-1 302.
    [5]
    REHMAN N U, XIA Y, MANDIC D P, et al. Application of multivariate empirical mode decomposition for seizure detection in EEG signals[C]// 2010 Annual International Conference of the IEEE: Engineering in Medicine and Biology Society. Piscataway: IEEE Press,2010: 1 650-1 653.
    [6]
    胡彦红，张雷，林建中，等. 基于全息谱的转子系统故障诊断分析[J]. 振动与冲击, 2009, 28(12): 164-166.
    HU Yanhong, ZHANG Lei, LIN Jianzhong, et al. Diagnosis analysis of rotor system based on holo-spectrum[J]. Journal of Vibration and Shock, 2009, 28(12): 164-166.
    [7]
    屈梁生，史东锋. 全息谱十年:回顾与展望[J]. 振动、测试与诊断, 1998, 18(4): 235-242.
    QU Liangsheng, SHI Dongfeng. Holo-spectrum during the past decade: Review & prospect[J]. Journal of Vibration, Measurement & Diagnosis, 1998, 18(4): 235-242.
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