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小波降噪在起重机声发射信号方面的应用

Application of wavelet denoising in acoustic emission signal of crane
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摘要 检测起重机械的方法主要是常规无损检测,但是这种常规方法一般不具备实时性特点,为了弥补这点缺陷,提出采用声发射技术来实现检测。在本次实验中搭载了试验系统,研究了起重机常用钢材Q235试件在不同缺陷条件下的声发射信号特性,同时运用有限元分析,小波分析来研究声发射信号和预制缺陷之间的关系,通过比较频谱和声发射参数,来获取有用的的缺陷信息。试验结果表明,可以根据波形的分析简要判断所检测试件的受损情况。 The main examination method of hoisting machinery is conventional nondestructive detection,but this method cannot reflex real-time parameters.In order to make up for this defect,the paper proposes to use the acoustic emission technology for examination.In this test,a test system is established to study the acoustic emission signal characteristics of Q235 steel specimens commonly used in cranes under different defect conditions.Meanwhile,finite element analysis and wavelet analysis are carried out to study the relationship between acoustic emission signals and prefabricated defects,and useful information on defects is obtained by comparing frequency spectrum and acoustic emission parameters.Based on test results,it is can be found that the damaged condition of the tested specimen can be judged according to the waveform analysis.
作者 苏文胜 刘彬彬 张洪 李云飞 Su Wensheng;Liu Binbin;Zhang Hong;Li Yunfei
出处 《起重运输机械》 2020年第4期90-93,共4页 Hoisting and Conveying Machinery
关键词 起重机 声发射 缺陷试件 小波分析 crane acoustic emission defective specimen wavelet analysis
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