A new Kalman filter approach for structural parameter tracking: Application to the monitoring of damaging structures tested on shaking-tables
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering
Reference61 articles.
1. Virtual, digital and hybrid twins: A new paradigm in data-based engineering and engineered data;Chinesta;Arch. Comput. Methods Eng.,2018
2. Digital twin: Values, challenges and enablers from a modeling perspective;Rasheed;IEEE Access,2020
3. Digital twin, physics-based model, and machine learning applied to damage detection in structures;Ritto;Mech. Syst. Signal Process.,2021
4. Dynamic data driven applications systems: A new paradigm for application simulations and measurements;Darema,2004
5. Merging advanced sensing techniques and simulation tools for future structural health monitoring technologies;Chamoin;Project Repository J.,2021
Cited by 19 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. Estimation Algorithms via Kalman Filter Gain;International Journal of Applied Mathematics, Computational Science and Systems Engineering;2024-07-05
2. Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework;Computer Methods in Applied Mechanics and Engineering;2024-05
3. Parameter identification algorithm for ship manoeuvrability and wave peak model based multi-innovation stochastic gradient algorithm use data filtering technique;Digital Signal Processing;2024-05
4. Construction and testing of an empirical model for calculating the tumbled range of dry prickly ash particles on the separation belt;Computers and Electronics in Agriculture;2024-03
5. Structural damage identification through unscented Kalman inversion with l 1 -norm regularization;Engineering Optimization;2024-02-20
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