Paper Title:
Penetration Acceleration Signal Overload Rigid Separation Base on Local Mean Decomposition
  Abstract

Hard target penetration acceleration signals are non-stationary signals. In this paper use the local mean decomposition theory to analysis hard target penetration acceleration signals. Local mean decomposition can adaptively decompose any complex non-stationary signal into a number of physically meaningful instantaneous frequency components and these components could well reflect the intrinsic nature of the signals. Use local mean decomposition to separate the rigid projectile overload from hard target penetration acceleration signals. That provide reliable data to support accurately calculating the effective penetration depth, hard floors or holes through the number of target parameters on the penetration of weapons is significant. The author apply local mean decomposition algorithm in penetration acceleration signal separation and the results verify the effectiveness of the method.

  Info
Periodical
Chapter
Chapter 4: Fault Diagnose and Electronmechanical Control
Edited by
Zhixiang Hou
Pages
938-941
DOI
10.4028/www.scientific.net/AMM.128-129.938
Citation
H. Y. Hao, Y. B. Wang, M. J. Liu, X. F. Li, "Penetration Acceleration Signal Overload Rigid Separation Base on Local Mean Decomposition", Applied Mechanics and Materials, Vols. 128-129, pp. 938-941, 2012
Online since
October 2011
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