基于第二代小波变换的结构损伤识别
发布时间：2018-11-15 10:53
【摘要】：利用第二代小波分解对信号突变信息敏感的特性,将结构动力响应信号分解为多个小波组分信号,通过各组分信号小波能量变化和小波能量变化率确定损伤位置和识别结构损伤,提出基于第二代小波能量变化率指标的结构损伤识别方法。研究结果表明:第二代小波能量变化率对结构损伤比较敏感,其幅值与置信上限之差远高于其它测点,可以用来判定结构损伤位置;但噪声对损伤识别的影响较大,在实用中应先对现场采取的动态信号进行降噪处理,再应用第二代小波能量变化率指标对结构进行损伤识别,可较好地识别出结构的损伤位置。
[Abstract]:Based on the sensitivity of the second generation wavelet decomposition to the signal mutation information, the structure dynamic response signal is decomposed into multiple wavelet component signals. According to the wavelet energy change and wavelet energy change rate of each component signal, the damage location is determined and the structure damage is identified. A structure damage identification method based on the second generation wavelet energy change rate index is proposed. The results show that the energy change rate of the second generation wavelet is sensitive to the damage of the structure, and the difference between the amplitude and the upper confidence limit is much higher than that of other measuring points, which can be used to determine the damage location of the structure. But the noise has a great influence on the damage identification. In practice, the dynamic signal should be de-noised first, then the second generation wavelet energy change rate index is used to identify the damage of the structure, which can better identify the damage location of the structure.
【作者单位】： 郑州大学土木工程学院;河南交通职业技术学院公路学院;
【基金】：高等学校博士学科点专项科研基金资助项目(200804590006)
【分类号】：U446
[Abstract]:Based on the sensitivity of the second generation wavelet decomposition to the signal mutation information, the structure dynamic response signal is decomposed into multiple wavelet component signals. According to the wavelet energy change and wavelet energy change rate of each component signal, the damage location is determined and the structure damage is identified. A structure damage identification method based on the second generation wavelet energy change rate index is proposed. The results show that the energy change rate of the second generation wavelet is sensitive to the damage of the structure, and the difference between the amplitude and the upper confidence limit is much higher than that of other measuring points, which can be used to determine the damage location of the structure. But the noise has a great influence on the damage identification. In practice, the dynamic signal should be de-noised first, then the second generation wavelet energy change rate index is used to identify the damage of the structure, which can better identify the damage location of the structure.
【作者单位】： 郑州大学土木工程学院;河南交通职业技术学院公路学院;
【基金】：高等学校博士学科点专项科研基金资助项目(200804590006)
【分类号】：U446
【参考文献】
相关期刊论文 前3条
1 傅勤毅;熊施园;;基于小波分析的齿轮箱故障诊断[J];铁道科学与工程学报;2013年01期
2 韩建刚;任伟新;孙增寿;;基于小波包变换的梁体损伤识别[J];振动、测试与诊断;2006年01期
3 孙增寿;范科举;张波;;基于第二代小波变换的结构损伤检测研究进展[J];郑州大学学报(工学版);2010年01期
【共引文献】
相关期刊论文 前10条
1 李多田;张伟林;;结构无损检测与小波分析方法[J];安徽建筑工业学院学报(自然科学版);2008年03期
2 韩西;崔t，
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