基于时间序列数据的输电钢塔损伤检测和试验研究

对输电塔进行损伤定位一直是一个研究难点,通过将输电塔简化为分层的10个子结构,利用加速度时间序列对输电塔结构进行损伤检测,提出了用基于预白化改进的AR前3阶系数指标对损伤进行定位.首先使用加速度数据建立ARMA模型,并提取其AR部分的前3阶系数建立基本指标,然后通过预白化来对该指标进行改进,去除各层数据之间的相关性,使...

Damage Detection and Experimental Study of Transmission Tower Based on Time Series Data

Structural damage detection in transmission towers is always a challenging problem.The transmission tower is divided into 10 sub-structures,the damage detection of transmission tower structure is carried out by using acceleration time series data,and the damage is located by using the first 3-order coefficient index improved by using pre-whitening filter.After the ARMA model is built using acceleration data,the first 3 orders of AR part are extracted to establish some basic indicators.To remove the correlation between the layers of data,based on the location of damage,the index is improved by using pre-whitening filter.Finally,the damage detection method based on time series data is summarized.The validity of this indicator is verified by a classic 3-story experimental case,and then a 6-story transmission tower damage detection experiment is carried out.The experimental results show that the recommended method of recognition based on time series data can detect the damage of transmission tower.