广义S变换评价材料早期疲劳损伤的声发射信号处理技术

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摘要

为实现材料早期疲劳损伤程度的评价，提出以改进的Marr子波为核函数的广义S变换，结合时频图的信息量量化的声发射信号处理方法。搭建金属疲劳损伤在线声发射检测系统，采集金属材料早期结构疲劳损伤下的声发射信号，再对典型的声发射信号进行广义S变换处理来验证该研究中的广义S变换具有更高的时频分辨率，然后对金属疲劳过程中包含高应力和低应力状态下的声发射信号进行高分辨的时频分析，从而得到随着疲劳周期数增加的较准确、清晰的时频图；采用信息熵的量化方法对具有高分辨的时频图进行信息熵的量化。实验表明，上述信号处理方法可获得金属材料在早期结构疲劳损伤的时频信息变化特征，为用于建筑工程、桥梁结构构件常用钢材疲劳过程中的声发射检测及早期疲劳损伤程度加剧提供参考依据。

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	史慧扬1
	李海洋1
	王召巴1
	潘强华2

关键词 ：声发射检测, 循环疲劳, 疲劳损伤, 广义S变换, 时频分析, 信息熵

Abstract：In order to evaluate the early fatigue damage degree of materials, a modern signal processing method of the generalized S transform with the modified wide-band Marr wavelet as the kernel function and quantification of information in time-frequency graphs was proposed.First of all, an online acoustic emission detection system for metal fatigue damage was established and acoustic emission signals of early structural fatigue damage of metal materials were collected.Secondly, the generalized S transform was applied to the typical acoustic emission signal to verify that the generalized S transform has higher time-frequency resolution and then the high-resolution time-frequency analyses of acoustic emission signals under high stress and low stress were carried out.Therefore, a more accurate and clear time-frequency graph showing the change of information was obtained with the increase of fatigue cycle number.Finally, a quantization method of information entropy was used to quantify the information entropy of time-frequency graphs with high resolution.The experiment result shows that these signal processing methods can obtain the time-frequency information change characteristics of metal materials in the early structural fatigue damage, and provide a reference basis for acoustic emission detection of commonly used steel fatigue process used in construction engineering and bridge structural components and the aggravation of early fatigue damage degree.

Key words： acoustic emission testing cyclic fatigue fatigue damage generalized S transform time-frequency analysis information entropy

收稿日期: 2018-11-16 出版日期: 2020-08-15

引用本文:

史慧扬1，李海洋1，王召巴1，潘强华2. 广义S变换评价材料早期疲劳损伤的声发射信号处理技术[J]. 振动与冲击, 2020, 39(16): 244-253.
SHI Huiyang1, LI Haiyang1, WANG Zhaoba1, PAN Qianghua2. Generalized S transform acoustic emission signal processing technology for early fatigue damage evaluation of materials. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(16): 244-253.

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http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2020/V39/I16/244

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