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出 处:《科学技术与工程》2013年第33期10064-10068,共5页Science Technology and Engineering
摘 要:基于朴素贝叶斯分类方法,对Lamb波信号的时频特征进行分类,从而监测结构关键部位的损伤状态。利用小波变换对压电传感元件接收到的Lamb波信号进行时间频率域分析,提取与损伤状态对应的损伤指标;在此基础上利用朴素贝叶斯分类器进行损伤状态的分类,得到结构关键部位的裂纹长度。典型结构关键部位(如接头耳片)的实验研究结果表明方法的有效性。tdatdriven statistical approach ifocused on to detecand monitofatigue crack growth in lug joinsampleusing surface mounted piezoelectrisensors. Early and faithful detection of fatigue crackin lug joincan guide in taking preventive measures, thuavoiding any possible fatal structural failure. The on - line dam- age state aany given fatigue cycle iestimated using damage index approach athe dynamical propertieof structure change with the initiation of new crack othe growth of an existing crack. Using the measurementper- formed on an intaclug joinabaseline, damage indiceare evaluated from the frequency response of the lug joinwith an unknown damage state. Athe damage indiceare evaluated, statistical selection metriievaluated to identify the zone thathe critical crack liein. analysiithen committed to give the damage state of the selected zone. metriievaluated and region the selected region, Bayesian
关 键 词:结构健康监测 结构关键部位 时频分析 主成分分析 朴素贝叶斯 损伤指标
分 类 号:V214.3[航空宇航科学与技术—航空宇航推进理论与工程]
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