TY - GEN
T1 - Analysis and processing shock acceleration signal based on EMD
AU - Li, Ming
AU - Liu, Mingjie
AU - Bai, Li
PY - 2009
Y1 - 2009
N2 - The projectile's penetration acceleration signal from the test is a kind of shock acceleration signal, and also is a kind of typical Nonstationary Random Signal(NRS), the duration of the signal is very short and its frequency components are rapidly changed with time. Empirical Mode Decomposition(EMD) is a novel method especially fit for dealing with the NRS, it can decompose the signal into the limited fuherent Modality Function(IMF) rather than the sine or cosine as the Fourier transformation does, each IMF component highlights the signal partial characteristic, and it can gain effective and accurate characteristic information of the signal with the further analysis to the IMF. The final analysis results show that EMD is a useful and effective analysis tool for penetration acceleration signal, and it is significant for engineering design and practice.
AB - The projectile's penetration acceleration signal from the test is a kind of shock acceleration signal, and also is a kind of typical Nonstationary Random Signal(NRS), the duration of the signal is very short and its frequency components are rapidly changed with time. Empirical Mode Decomposition(EMD) is a novel method especially fit for dealing with the NRS, it can decompose the signal into the limited fuherent Modality Function(IMF) rather than the sine or cosine as the Fourier transformation does, each IMF component highlights the signal partial characteristic, and it can gain effective and accurate characteristic information of the signal with the further analysis to the IMF. The final analysis results show that EMD is a useful and effective analysis tool for penetration acceleration signal, and it is significant for engineering design and practice.
KW - EMD
KW - IMF
KW - MSMS
KW - Penetration acceleration signal
UR - http://www.scopus.com/inward/record.url?scp=71949127989&partnerID=8YFLogxK
U2 - 10.1109/ICICTA.2009.138
DO - 10.1109/ICICTA.2009.138
M3 - Conference contribution
AN - SCOPUS:71949127989
SN - 9780769538044
T3 - 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
SP - 545
EP - 548
BT - 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
T2 - 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Y2 - 10 October 2009 through 11 October 2009
ER -