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Volume 32 Issue 5
Aug 2018
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Chinese Journal of High Pressure Physics  > 2018  >  32(5): 055104.
TANG Lin, CHEN Gang, WU Hao. Penetration Deceleration Signal Processing Method with Ensemble Empirical Mode Decomposition and Consecutive Mean Square Error[J]. Chinese Journal of High Pressure Physics, 2018, 32(5): 055104. doi: 10.11858/gywlxb.20180518
Citation: TANG Lin, CHEN Gang, WU Hao. Penetration Deceleration Signal Processing Method with Ensemble Empirical Mode Decomposition and Consecutive Mean Square Error[J]. Chinese Journal of High Pressure Physics, 2018, 32(5): 055104. doi: 10.11858/gywlxb.20180518
shu

Penetration Deceleration Signal Processing Method with Ensemble Empirical Mode Decomposition and Consecutive Mean Square Error

doi: 10.11858/gywlxb.20180518
  • 1.

    Institute of Systems Engineering, CAEP, Mianyang 621999, China

  • 2.

    Key Laboratory of Shock and Vibration of Engineering Materials and Structures of Sichuan, Mianyang 621010, China

  • 3.

    College of Civil Engineering, Tongji University, Shanghai 200092, China

  • Received Date: 13 Feb 2018
  • Rev Recd Date: 23 Mar 2018
    Abstract
  • The extraction of rigid-body deceleration characteristic plays a significant role in the research of anti-hard-target weapons and related areas.In this paper, we investigated the methods of processing on-board recorded penetration deceleration data.The intrinsic mode functions were separated from the raw signals by ensemble empirical mode decomposition (EEMD), and a demarcation point between high-frequency interference functions and the projectile rigid-body acceleration signal functions was distinguished by the consecutive mean square error (CMSE) theory.By discarding the first few high-frequency components without demarcation points, the rigid-body acceleration of projectile was reconstructed with the remaining low-frequency components.The consistency of the integral results between the final curve and the original data shows that, the high-frequency interference is removed effectively and the rigid-body penetration over-load is kept completely.In addition, the difficulty of selecting the filter frequency under different target conditions in the traditional filter method is avoided with the characteristic of signal adaptive in the analysis process.

     

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