摘要
利用AR模型的自回归系数构造距离判别函数、定义结构损伤特征参数,并引入统计分析方法,对结 构的异常状态诊断及损伤定位.数值实验表明,与基于模态频率变化的方法相比,该方法具有更高的损伤 识别能力.
Using the AR model auto - regression coefficient to form function of distance - based identification, defining structural damaging diagnostic parameter and introducing statistic analytical method to identify abnormal structural state and lacate damage. Numeric experiments have shown that the method has a relative higher capacity of the damaging identification compare to those which bases on the variety of the model frequency.
出处
《福州大学学报(自然科学版)》
CAS
CSCD
北大核心
2005年第z1期301-304,共4页
Journal of Fuzhou University(Natural Science Edition)
基金
福州大学科技发展基金资助项目(2004-XY-14)
关键词
AR模型
损伤特征参数
损伤诊断
AR model
damaging diagnostic parameter
damaging identification