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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：力学与航空航天学院
学科：工程力学. 固体力学. 船舶与海洋结构物设计制造. 计算力学. 航空航天力学与工程
办公地点：综合实验1号楼（海宇楼）605
联系方式：Email: lxyuhua@dlut.edu.cn 565598@qq.com
电子邮箱：lxyuhua@dlut.edu.cn
The research of soft yoke single point mooring tower system damage identification based on long-term monitoring data
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论文类型：期刊论文
发表时间：2018-07-01
发表刊物：APPLIED OCEAN RESEARCH
收录刊物：SCIE、Scopus
卷号：76
页面范围：139-147
ISSN号：0141-1187
关键字：Damage identification; Random decrement signature; Autocorrelation function; Soft yoke single point mooring (SPM) tower system; Support Vector Machine (SVM)
摘要：In this research, to identify the damage of the nonlinearity system under ambient loads, an intelligent damage identification method based on long-term monitoring data is proposed. The random decrement technique and the autocorrelation function algorithm are used to extract free decay of the structure from long-term monitoring data. The random decrement signatures, autocorrelation function, the frequency of free response and the peak points of the frequency spectrum are used as the features of the structure. These features are then input into the Support Vector Machine (SVM) to classify the current state of the system and their identification accuracy is compared. The simulation experiments results show the extracted features are capable of representing the changes of the system inherent characteristics. Finally, the proposed method is applied to the data analysis of the soft yoke single point mooring (SPM) tower system, and provide the reference for the damage identification of the soft yoke SPM tower system.