期刊
X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017)
卷 199, 期 -, 页码 1888-1893出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.proeng.2017.09.123
关键词
Damage detection; uncertainty; population of structures; Random Coefficient models; Gaussian Mixture models; Structural Health Monitoring
资金
- European Commission (FP7 Project) [605549]
Vibration based damage detection for a population of nominally identical structures is characterized by considerable uncertainty which is caused by even slight dissimilarities among the population members, and is compounded with that of additional sources. In this work a response only and unsupervised Random Coefficient Gaussian Mixture AR model based methodology is postulated for tackling the problem. Its effectiveness is experimentally assessed via damage detection for a population of composite beams. The results indicate significant performance improvement over a corresponding Random Coefficient Gaussian method, yet similar to that of a Multiple Model based method. (C) 2017 The Authors. Published by Elsevier Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据