Vibration-based damage detection in flexible risers using time series analysis

被引:0
作者
Dept. of Civil and Earth Resources Eng., Kyoto University, Katsura Campus, Nishikyo-ku, Kyoto 615-8540, Japan [1 ]
不详 [2 ]
不详 [3 ]
机构
[1] Dept. of Civil and Earth Resources Eng., Kyoto University, Katsura Campus, Nishikyo-ku
[2] Deep Sea Technology Research Group, National Maritime Research Institute, Mitaka-shi, Tokyo 181-0004, 6-38-1, Shinkawa
[3] Marine Technology Research and Development Program, Marine Technology Center, JAMSTEC, Yokosuka 237-0061, 2-15, Natushima-cho
关键词
AR-ARX prediction model; Damage detection; Flexible riser; Time series analysis;
D O I
10.2208/jsceja.63.423
中图分类号
学科分类号
摘要
In this paper, a statistical pattern recognition method based on time series analysis is implemented in flexible risers. This method uses a combination of Auto-Regressive (AR) and Auto-Regressive with eXogenous inputs (ARX) prediction models. The flexible riser model used in this paper is experimentally validated employing a proposed numerical scheme for dynamic response of flexible risers. A modal-based damage detection approach is also implemented in the flexible riser model and its results are compared with the ones obtained from time series analysis. The numerical results show that the time series analysis presented in this paper is able to detect and locate structural deterioration related to fatigue damage in flexible risers. Finally, considering the case study results presented in this paper, the presented AR-ARX prediction model works better than the modal-based damage detection method.
引用
收藏
页码:423 / 433
页数:10
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