Improvement of the wavelet transform maximum modulus method for blasting vibration signals
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摘要: 针对模极大值小波消噪方法不利于所有信号特征的识别这一缺点,对该算法进行了改进,采用自适应的小波尺度来替换二进小波尺度,以更好地适应测试信号消噪的要求。应用改进前、后的消噪算法分别对实测爆破震动信号进行了分析,并将分析结果进行了比较。比较结果说明:改进后的算法消噪效果更好,消噪后信号同轴清晰、连续性好,信噪比由17.25提高到20.16,可以更好地实现爆破震动信号消噪的目的。
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关键词:
- 爆炸力学 /
- 改进的小波变换模极大值 /
- 自适应分解尺度 /
- 爆破震动信号
Abstract: Aimed at the disadvantage of the traditional wavelet transform maximum modulus (WTMM) denoising method not to identify all signal characteristics, an improved denoising method based on the WTMM technique was proposed, by using adaptive decomposition dimension instead of dyadic scales, to meet the signal denoising demands. The improved WTMM method and the traditional WTMM method were applied to analyze the original blasting vibration signals. The denoised signal by the improved WTMM method is coaxially more distinct from the detected signals and has better continuity, and the signal-to-noise ratio is improved from 17.25 to 20.16. It is suggested that the improved WTMM method has better denoising effect than the traditional WTMM method. 期刊类型引用(3)
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