封雷,刘曦,解龙,贺旋,宁晶.基于总体经验模态分解法的爆炸分离冲击数据分析和处理[J].装备环境工程,2025,22(3):1-7. FENG Lei,LIU Xi,XIE Long,HE Xuan,NING Jing.Analysis of Pyrotechnic Shock Data Based on Ensemble Empirical Mode Decomposition[J].Equipment Environmental Engineering,2025,22(3):1-7. |
基于总体经验模态分解法的爆炸分离冲击数据分析和处理 |
Analysis of Pyrotechnic Shock Data Based on Ensemble Empirical Mode Decomposition |
投稿时间:2024-12-19 修订日期:2025-02-11 |
DOI:10.7643/issn.1672-9242.2025.03.001 |
中文关键词: 总体经验模态分解 爆炸分离冲击 模态分量 冲击响应谱 零位漂移 放大器饱和中图分类号:TJ410.1 文献标志码:A 文章编号:1672-9242(2025)03-0001-07 |
英文关键词:ensemble empirical mode decomposition pyrotechnic shock intrinsic mode function shock response spectrum zero drift amplifier saturation |
基金项目: |
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Author | Institution |
FENG Lei | Xi'an Institute of Modern Control Technology, Xi'an 710065, China |
LIU Xi | Xi'an Institute of Modern Control Technology, Xi'an 710065, China |
XIE Long | Xi'an Institute of Modern Control Technology, Xi'an 710065, China |
HE Xuan | Xi'an Institute of Modern Control Technology, Xi'an 710065, China |
NING Jing | Xi'an Institute of Modern Control Technology, Xi'an 710065, China |
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中文摘要: |
目的 对炮弹发射过程的实测异常大量值爆炸分离冲击数据进行分析与处理,准确获取真实的发射冲击信号。方法 利用基于总体经验模态分解法(EEMD)对实测爆炸分离冲击数据进行处理,通过自适应构造冲击数据的模态分量,剔除原始数据中的趋势项。结果 通过对某型炮弹发射过程的爆炸分离冲击数据进行处理,有效剔除了冲击信号中的趋势项,准确得到真实的时域信号和冲击响应谱曲线。结论 该研究能够为实测异常冲击数据时频域处理提供一种有效的方法。 |
英文摘要: |
The work aims to analyze the measured abnormal large values of pyrotechnic shock data from artillery launching to obtain the real launching shock signal. The ensemble empirical mode decomposition (EEMD) was used to process the measured pyrotechnic shock data, to construct intrinsic mode functions of the shock data by adaptive method and remove the trend item from the original shock data. By processing the shock data from the artillery launching, the trend item in the shock data was eliminated effectively, and the real time domain signals and the shock response spectrum curve were obtained accurately. This study can provide an effective method for the time-frequency domain processing of the measured abnormal shock data. |
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