DAMAGE IDENTIFICATION USING TIME SERIES ANALYSIS AND SPARSE REGULARIZATION

摘要：

1 General Introduction Time series models have been popularly used in structural damage identification because the model coefficients and residual errors are sensitive to structural damages.As the direct relationship between these damage-sensitive features and damage severity was not established,these methods provide limited information about the location or severity of damage.

关键词： damage identification time series analysis autoregressive coefficient sparse regularization structural health monitoring

作者: HONGPING ZHU HONG YU FEI GAO SHUN WENG YUAN SUN QIN HU

作者单位: School of Civil Engineering and Mechanics,Huazhong University of Science and Technology,Wuhan,Hubei,P.R.China

会议类型: 国际会议

会议名称: The 7th International Conference on Smart Materials and Nanotechnology in Engineering (第7届智能材料与纳米技术国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 1-2

在线出版日期: 2019-09-20（万方平台首次上网日期，不代表论文的发表时间）