Experimental Study on Monitoring the Attachment Bolt Looseness in a Clamping Support Structure Model
Experimental Study on Monitoring the Attachment Bolt Looseness in a Clamping Support Structure Model
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DOI：
10.1007/978-1-84628-814-2_102
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发表时间：
2006-12
期刊：
影响因子：
--
通讯作者：
G. Dong;Jin Chen;Nong Zhang
中科院分区：
文献类型：
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作者：
G. Dong;Jin Chen;Nong Zhang
通过对某运输用夹紧支架结构模型的宽带随机振动试验，研究了该结构模型中联接螺栓松动的时间检测、松动程度评估和松动位置定位等问题。首先，利用小波变换对包含螺栓松动时刻的结构加速度响应数据进行分析。在小波分解的一级细节中，可以清楚地观察到沿时间轴的一个明显的沿着阶跃，其显示了螺栓松动发生的时间。其次，根据实测的输入输出信号建立ARX（autoregression with exogenous inputs）模型，并将模型残差的统计指标定义为表征夹紧支架松动螺栓严重程度和位置的损伤特征参数。实验研究表明，本文提取的特征参数比测量基频更适合于螺栓松动的早期监测。
Based on the broad-band random vibration experiment on a structure model of clamping support used in transportation, this paper investigates the problems on detecting the time, evaluating the extent and locating the place of the attachment bolt looseness in the structure model. Firstly, wavelet transform was used to analyse the structural acceleration response data, which includes the moment when the bolt looseness occurred. An obvious step leap along the time axis, which shows the time when the bolt looseness occurs, can be clearly observed in the level-1 details of the wavelet decomposition. Secondly, ARX (auto-regression with exogenous inputs) model was constructed from the measured input and output signals, then the statistical indices of the model residual error were defined as the damage characteristic parameter indicating the severity and location of the loose bolts in the clamping support. The experimental study shows that the extracted characteristic parameter in this paper can be more appropriate than measuring the base frequency for monitoring the bolts looseness at early stage.