小波变换理论在炸药装药安全性检验中的应用  

Application of wavelet transformation theory in safety testing of explosives

作　　者：宋正刚[1] 郑波[1] 

机构地区：[1]北京理工大学爆炸灾害预防,控制国家重点实验室,北京100081

出　　处：《安全与环境学报》2004年第2期70-72,共3页Journal of Safety and Environment

摘　　要：工业 CT探测炸药时 ,存在的严重噪声使得信号难以识别 ,严重影响了炸药探测的可靠度和精确度。为提高工业 CT探测炸药的信噪比和可靠性 ,利用小波变换的方法降低信号噪声以实现有效的炸药探测。结果显示 ,小波变换可以实际地进行工业 CT探测炸药得到的信号的分析 ,能有效地抑制噪声和提高信噪比 ,并且利用小波变换可以检测出药柱的裂纹以及裂纹的位置。The present paper aims to introduce the author's application of the wavelet transformation for processing ICT detect signals. Based on the difference between useful signal and noise, a db4 wavelet is used to remove noises of ICT detective signals of the explosive cylinder. The results of the author's experiments show that the signal noise ratio (SNR) can be greatly improved by the given method. Thus, it can be regarded as innovation to the γ-ICT technology, which is known as the best method in testing explosive charges. The ICT detect signals of explosive include inherent noises such as electric circuit noise, ray-scattering noise, which usually brings troubles to signal processing. So far, in all the methods of signal processing Fourier analysis is the most widely used. Comparing with Fourier analysis, wavelet analysis is advantageous in localizing time domain and frequency domain signals. As is known to us, when the module of wavelet transform achieves its maximum, the signals will happen to change abruptly. This particular feature of wavelet transform helps to crack in explosive cylinders, enabling its position to be detected.

关 键 词：信息处理技术 小波变换 工业CT 炸药 裂纹 

分 类 号：TN911.7[电子电信—通信与信息系统] TQ560.79[电子电信—信息与通信工程]