基于统计的小波包分析的输电塔结构损伤预警  

Damage pre-warning of transmission tower based on statistical wavelet packet analysis

作　　者：谭冬梅[1] 秦文科[1] 

机构地区：[1]武汉理工大学道路桥梁与结构工程湖北省重点实验室,湖北武汉430070

出　　处：《地震工程与工程振动》2010年第4期115-120,共6页Earthquake Engineering and Engineering Dynamics

基　　金：国家自然科学基金项目(50378074)

摘　　要：本文针对输电塔结构的损伤特点,提出了基于统计过程控制理论和小波包分析实现输电塔结构损伤预警的方法。首先将振动测试信号进行小波包分解,然后以小波包系数节点能量作为识别损伤的特征向量建立相应的损伤因子,通过统计过程控制理论计算其单侧置信上限,实现输电塔结构的损伤预警。为了证明该方法,对一个三层输电塔结构模型进行了试验研究,结果表明该方法能够有效地识别损伤的发生。For damage pre-warning of transmission tower structure,the application study on damage identification of transmission tower based on wavelet packet analysis and statistical process control is developed.Firstly the vibrating signal is decomposed into each frequency band based on wavelet packet（WP） analysis.Then the corresponding damage indicator is established by the WP coefficient node energy which is acted as characteristic vector of damage identification.Finally,the damage pre-warning of the transmission tower structure is realized by calculating the one-sided upper confidence limit based on the statistics process control method.The experimental study is conducted for a three-layer simplified transmission tower model,which indicate that this method can be used to detect the structure damage effectively.

关 键 词：输电塔 小波包 结构损伤 统计过程控制 

分 类 号：TU323[建筑科学—结构工程] P315.95[天文地球—地震学]