Ensemble of hybrid neural networks to compensate for epistemic uncertainties: a case study in system prognosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07129-1.pdf
Reference64 articles.
1. An D, Kim NH, Choi JH (2015) Practical options for selecting data-driven or physics-based prognostics algorithms with reviews. Reliability Engineering & System Safety 133:223–236. https://doi.org/10.1016/j.ress.2014.09.014
2. Baraldi P, Popescu IC, Zio E (2010) Methods of uncertainty analysis in prognostics. Int J Perform Eng 6(4):303. https://doi.org/10.23940/ijpe.10.4.p303.maghttp://www.ijpe-online.com/EN/abstract/article_3351.shtml
3. Bhaumik S, Sujata M, Venkataswamy M (2008) Fatigue failure of aircraft components. Eng Fail Anal 15(6):675–694 https://doi.org/10.1016/j.engfailanal.2007.10.001,http://www.sciencedirect.com/science/article/pii/S1350630707001409
4. Caceres J, Gonzalez D, Zhou T, et al. (2021) A probabilistic bayesian recurrent neural network for remaining useful life prognostics considering epistemic and aleatory uncertainties. Struct Control Health Monitor. https://doi.org/10.1002/stc.2811
5. Che C, Huawei, Wang, et al. (2019) Combining multiple deep learning algorithms for prognostic and health management of aircraft. Aerosp Sci Technol 94:105423. https://doi.org/10.1016/j.ast.2019.105423
Cited by 4 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. Particle filter-based fatigue damage prognosis using prognostic-aided model updating;Mechanical Systems and Signal Processing;2024-04
2. Aircraft Structural Design and Life-Cycle Assessment through Digital Twins;Designs;2024-03-22
3. Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview;Sensors;2023-09-27
4. Asynchronous robust dynamic output feedback $$H_{\infty }$$ control for fuzzy stochastic hybrid systems subject to time-varying delays and hidden Markov model;Soft Computing;2022-10-27
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