Counter-checking uncertainty calculations in Bayesian operational modal analysis with EM techniques
出版年份 2023 全文链接
标题
Counter-checking uncertainty calculations in Bayesian operational modal analysis with EM techniques
作者
关键词
-
出版物
PROBABILISTIC ENGINEERING MECHANICS
Volume -, Issue -, Pages 103542
出版商
Elsevier BV
发表日期
2023-10-13
DOI
10.1016/j.probengmech.2023.103542
参考文献
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- (2022) Xinyu Jia et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
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- Bayesian operational modal analysis with asynchronous data, Part II: Posterior uncertainty
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- Bayesian operational modal analysis of Jiangyin Yangtze River Bridge
- (2018) James Mark William Brownjohn et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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- The Earthquake Network Project: Toward a Crowdsourced Smartphone‐Based Earthquake Early Warning System
- (2016) Francesco Finazzi BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
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- (2016) Yan-Chun Ni et al. International Journal of Structural Stability and Dynamics
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- (2016) Ka-Veng Yuen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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- (2016) F. L. Zhang et al. Structural Control & Health Monitoring
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- (2013) Ellen Simoen et al. JOURNAL OF ENGINEERING MECHANICS
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- Fast Bayesian ambient modal identification in the frequency domain, Part II: Posterior uncertainty
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- An efficient analytical Bayesian method for reliability and system response updating based on Laplace and inverse first-order reliability computations
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