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Research on Acoustic Emission Test Method for Metal Fatigue Fracture Based on Wavelet Packets Feature Extraction

机译:基于小波包特征提取的金属疲劳断裂声发射测试方法研究

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The appearance and growth of the microcracks in the structure is an important factor that influences the structure safety and its service life. Thus it is very important to detect the crack and monitor its growth at the beginning of the crack. Aiming at the main style of failures in metal structure - fatigue fracture, this paper research acoustic emission waveforms analysis that base on wavelet packets feature extraction, through processing acoustic emission signal to test metal fatigue fracture. First, this paper analyses the reason of metal fatigue fracture and introduces the theory of acoustic emission. Based on that, we establish the time domain module of acoustic emission signal and extract the feature of acoustic emission signal using wavelet packets. According to the experimental results bending specimen, acoustic emission techniques monitoring fatigue crack propagation is certificated not only to resemble variable rule of fatigue crack propagation but also to catch generation of fatigue crack in real time. Compared with the method of parameter extraction, this method can not only realize real-time and dynamic monitoring, but also get the result that is similar with fatigue crack expanding rate curve.
机译:结构中微裂纹的出现和增长是影响结构安全性和使用寿命的重要因素。因此,检测裂纹并在裂纹开始时监控其增长非常重要。针对金属结构破坏的主要形式-疲劳断裂,本文研究了基于小波包特征提取的声发射波形分析,通过处理声发射信号来测试金属疲劳断裂。首先,本文分析了金属疲劳断裂的原因,并介绍了声发射理论。在此基础上,建立了声发射信号的时域模块,并利用小波包提取了声发射信号的特征。根据弯曲试样的实验结果,证明了监测疲劳裂纹扩展的声发射技术不仅类似于疲劳裂纹扩展的可变规则,而且可以实时捕获疲劳裂纹的产生。与参数提取方法相比,该方法不仅可以实现实时动态监测,而且可以获得与疲劳裂纹扩展速率曲线相似的结果。

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