Page 151 - 《爆炸与冲击》2026年第5期
P. 151
第 46 卷 罗瑶嘉,等: 基于变分模态分解处理的冲击波压力长短期记忆网络系统建模 第 5 期
Metrology and Measurement Technology, 2020, 40(5): 25–30. DOI: 10.11823/j.issn.1674-5795.2020.05.05.
[9] 赵博, 李鹤. 结合 EMD 和 LSF 的振动信号降噪方法的研究 [J]. 振动、测试与诊断, 2022, 42(3): 606–610, 624. DOI:
10.16450/j.cnki.issn.1004-6801.2022.03.028.
ZHAO B, LI H. Noise reduction method of vibration signal combining EMD and LSF [J]. Journal of Vibration, Measurement
and Diagnosis, 2022, 42(3): 606–610, 624. DOI: 10.16450/j.cnki.issn.1004-6801.2022.03.028.
[10] 孙传猛, 裴东兴, 陈嘉欣, 等. 基于深度学习的爆炸冲击波信号重构模型 [J]. 计测技术, 2022, 42(2): 57–67. DOI:
10.11823/j.issn.1674-5795.2022.02.07.
SUN C M, PEI D X, CHEN J X, et al. Research on reconstruction model of explosion shock wave signal based on deep
learning [J]. Metrology and Measurement Technology, 2022, 42(2): 57–67. DOI: 10.11823/j.issn.1674-5795.2022.02.07.
[11] 于浩, 刘彦, 孙亚如, 等. 爆炸冲击波场参数数字重构技术研究 [J]. 北京理工大学学报, 2025, 45(3): 219–228. DOI:
10.15918/j.tbit1001-0645.2024.078.
YU H, LIU Y, SUN Y R, et al. Research on digital reconstruction of explosion shock wave field parameters [J]. Transactions
of Beijing Institute of Technology, 2025, 45(3): 219–228. DOI: 10.15918/j.tbit1001-0645.2024.078.
[12] YAO Z J, LI Y S, SHI B, et al. An improved reconstruction method of the reflected dynamic pressure in shock tube system
based on inverse sensing model identification [J]. Aerospace Science and Technology, 2024, 145: 108903. DOI: 10.1016/j.
ast.2024.108903.
[13] LU J X, ZHOU Y Z, GE Y L, et al. Research into prediction method for pressure pulsations in a centrifugal pump based on
variational mode decomposition-particle swarm optimization and hybrid deep learning models [J]. Sensors, 2024, 24(13):
4196. DOI: 10.3390/s24134196.
[14] FRIEDLANDER F G. The diffraction of sound pulses: Ⅰ. diffraction by a semi-infinite plane [J]. Proceedings of the Royal
Society A: Mathematical, Physical and Engineering Sciences, 1946, 186(1006): 322–344. DOI: 10.1098/rspa.1946.0046.
[15] DRAGOMIRETSKIY K, ZOSSO D. Variational mode decomposition [J]. IEEE Transactions on Signal Processing, 2014,
62(3): 531–544. DOI: 10.1109/TSP.2013.2288675.
[16] ZHANG X, MIAO Q, ZHANG H, et al. A parameter-adaptive VMD method based on grasshopper optimization algorithm to
analyze vibration signals from rotating machinery [J]. Mechanical Systems and Signal Processing, 2018, 108: 58–72. DOI:
10.1016/j.ymssp.2017.11.029.
[17] 李向荣, 马翊闻, 李帅, 等. 爆炸冲击波峰值区域频率分布特性研究 [J]. 北京理工大学学报, 2019, 39(2): 125–130. DOI:
10.15918/j.tbit1001-0645.2019.02.003.
LI X R, MA Y W, LI S, et al. Research on frequency distribution of peak area of blast shock wave [J]. Transactions of Beijing
Institute of Technology, 2019, 39(2): 125–130. DOI: 10.15918/j.tbit1001-0645.2019.02.003.
[18] ZHAI Y P, ZHANG Z J, ZHANG H. Analysis and compensation of low frequency characteristics of sensors for vibration
testing [J]. Journal of Measurement Science and Instrumentation, 2019, 10(2): 176–181. DOI: 10.3969/j.issn.1674-8042.
2019.02.010.
[19] 赖富文, 王文廉, 张志杰. 大当量战斗部爆炸冲击波测试系统设计及应用 [J]. 弹箭与制导学报, 2009, 29(3): 133–135, 138.
DOI: 10.3969/j.issn.1673-9728.2009.03.039.
LAI F W, WANG W L, ZHANG Z J. Design and application of test system for blast wave [J]. Journal of Projectiles, Rockets,
Missiles and Guidance, 2009, 29(3): 133–135, 138. DOI: 10.3969/j.issn.1673-9728.2009.03.039.
[20] HASTIE T, TIBSHIRANI R, FRIEDMAN J. The elements of statistical learning: data mining, inference, and prediction [M].
2nd ed. New York: Springer, 2009. DOI: 10.1007/978-0-387-84858-7.
(责任编辑 张凌云)
051434-15

