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首页> 外文会议>Proceedings of the 1st international conference on mechatronic system and measurement technology >Application of Wavelet Multiscale Recovery Technique in Internal Explosion Signal Processing
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Application of Wavelet Multiscale Recovery Technique in Internal Explosion Signal Processing

机译：小波多尺度恢复技术在内部爆炸信号处理中的应用

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As the limitation of confined space individual structure, high temperature and high pressure blastwave exploded in enclosed container can't spread outside, and it reflects many times between the walls. Thus, the changing relationship between overpressure and time will be certainly complex, and there must be lots of interference noise resulted from the influence of many characteristic parameters during explosion in t he confined container, intricacy of propagation law in different media and environment as well as strengthened superimposed coupling effect. In this paper, internal explosive pressure signals of confined cylinder with a flat end plate according to different explosive load are collected by embedded dynamic parameter testing system. For some typical experimental data, the nonstationary signal can be broken down into stationary signal on different scales based on wavelet multiscale recovery technique, and the d ecomposed signal can be treated as t raditional threshold processing method. From the experiment result, it's easy to see th at the wavelet multiscale recovery technique is not only good for getting rid of the noise in the signal, but also good for breaking down useful signal and noise into different scale to a large extent to approach the real signal as far as possible.
机译：由于密闭空间单个结构的局限性，密闭容器内爆炸的高温高压爆炸波不能向外传播，在壁之间多次反射。因此，超压和时间之间的变化关系肯定会很复杂，密闭容器在爆炸过程中许多特征参数的影响，在不同介质和环境中传播规律的复杂性以及一定的影响必定会产生大量干扰噪声。增强了叠加耦合效应。本文通过嵌入式动态参数测试系统，收集了根据爆炸载荷不同，带有扁平端板的密闭筒内部爆炸压力信号。对于一些典型的实验数据，基于小波多尺度恢复技术，可以将非平稳信号分解为不同尺度的平稳信号，并将分解后的信号视为传统的阈值处理方法。从实验结果可以很容易地看出，小波多尺度恢复技术不仅有利于消除信号中的噪声，而且还有益于将有用的信号和噪声在很大程度上分解为不同的尺度以接近噪声。实际信号越好。

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