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温变工况下螺栓松动检测的独立成分分析方法 被引量:1

Bolt Looseness Detection under Changing Temperature Conditions Using Independent Component Analysis
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摘要 导波损伤检测技术的关键在于检测出结构损伤引起的导波信号变化,但环境温度变化也会影响导波传播过程,引起信号改变,导致损伤检测的失败。为了消除温度变化的影响,笔者采用独立成分分析(independent component analysis,简称ICA)方法处理导波响应信号。作为一种盲源分离的算法,ICA能够从混合信号中提取得到独立的未知源信号分量。因此利用ICA方法能将导波的响应源信号从被温度变化干扰的混合信号中分离出来,实现消除温度变化干扰的目的。为验证该方法的可行性,以螺栓连接铝板为对象进行实验,采集不同温度下螺栓全紧及松动状态的导波响应信号,将其经过ICA方法处理后应用到损伤定位算法中。结果表明,应用ICA处理后的导波信号能够成功定位松动螺栓,证实了ICA方法排除温度变化对导波传播影响的有效性。 Damage detection technology based on guided wave relies on comparing response signals with baseline records.However,the temperature variation can also produce large changes in guided wave sig nals,thereby causing a false alarm of damage detection.For eliminating the influence of temperature variation in the process of damage detection,independent component analysis(ICA)method is developed to process guided wave response signal.As a blind source separation algorithm,ICA can extract independent unknown source components from mixed signals.Therefore,the ICA method can separate the source signals of the guided waves from the mixed signals disturbed by the temperature,and achieve the purpose of eliminating the interference of temperature changes.In this paper,the experiment of bolt looseness damage detection is made in the environment of temperature variation.The collected signals are utilized in damage localization estimation after processing by ICA.It shows a good result for bolt looseness localization,which indicates that this method is robust to the temperature variation exhibited in damage detection based on guided wave.
作者 谢学多 肖黎 屈文忠 XIE Xueduo;XIAO Li;QU Wenzhong(Department of Engineering Mechanics,Wuhan University Wuhan,430072,China)
出处 《振动.测试与诊断》 EI CSCD 北大核心 2018年第5期922-928,1078,共8页 Journal of Vibration,Measurement & Diagnosis
基金 国家自然科学基金资助项目(51378402)
关键词 导波 螺栓松动 损伤检测 温度变化 独立成分分析 guided wave bolt looseness damage detection temperature variation independent compo nent analysis
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