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Condition Identification of Bolted Joints Based on Wavelet Analysis

机译:基于小波分析的螺栓连接条件识别

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In this paper, discrete wavelet transform (DWT) is used to analyze the acceleration signals near to the loose bolt, in order to study the characteristics of bolted joint condition. Firstly, an experimental system is built based on the NI data acquisition equipment. Secondly, based on qualitative analysis of the loose process of the bolted joints and spectrum analysis of response signals, an appropriate wavelet function is chosen and decomposed levels are determined. Lastly, according to the amplitude of each level, the contour diagrams are drawn and the Root Mean Square (RMS) of detailed coefficients at the sensitive level is calculated. Experimental result shows that both DWT contour diagrams and RMS at sensitive level have significant difference when preload changes.
机译:在本文中,离散小波变换(DWT)用于分析靠近松动螺栓的加速信号,以研究螺栓连接条件的特性。首先,基于NI数据采集设备构建实验系统。其次,基于对螺栓接头的松散过程的定性分析和响应信号的频谱分析,选择适当的小波函数并确定分解水平。最后,根据每个级别的幅度,计算轮廓图,并计算敏感级别处的详细系数的均方根(RMS)。实验结果表明,当预加载变化时,DWT轮廓图和敏感水平的RMS具有显着差异。

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