On Explicit and Implicit Procedures to Mitigate Environmental and Operational Variabilities in Data-Driven Structural Health Monitoring
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-81716-9_15
Reference45 articles.
1. Worden K, Cross EJ, Barthorpe RJ, Wagg DJ, Gardner P (2020) On digital twins, mirrors, and virtualizations: frameworks for model verification and validation. ASCE-ASME J Risk Uncertainty Eng Syst Part B: Mech Eng 6(3)
2. Farrar CR, Worden K (2007) An introduction to structural health monitoring. Philosophical Transictions of the Royal society A. Math Phys Eng Sci 365(1851):303–15
3. Sohn H (2007) Effects of environmental and operational variability on structural health monitoring. Philosophical Transictions of the Royal society A. Math Phys Eng Sci 365(1851):539–60
4. Avendaño-Valencia LD, Chatzi EN (2020) Multivariate GP-VAR models for robust structural identification under operational variability. Probab Eng Mech 60
5. Aravanis TCI, Sakellariou JS, Fassois SD (2020) A stochastic functional model based method for random vibration based robust fault detection under variable non–measurable operating conditions with application to railway vehicle suspensions. J Sound and Vib 466
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Machine learning and cointegration for structural health monitoring of a model under environmental effects;Expert Systems with Applications;2024-03
2. Lessons from Bridge Structural Health Monitoring (SHM) and Their Implications for the Development of Cyber-Physical Systems;Infrastructures;2024-02-07
3. Robust mitigation of EOVs using multivariate nonlinear regression within a vibration-based SHM methodology;Mechanical Systems and Signal Processing;2024-02
4. Modal-Based Anisotropy Early Warning in Wind Turbine Rotor;IFAC-PapersOnLine;2023
5. Learning-based video motion magnification approach for vibration-based damage detection;Measurement;2023-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3