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Bayesian structural model updating using ambient vibration data collected by multiple setups

Research article (Structural Control and Health Monitoring, 2017) · cited 49× · AI/ML
academia openalex:W2614581275
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Bayesian structural model updating using ambient vibration data collected by multiple setups

Summary

Bayesian structural model updating using ambient vibration data collected by multiple setups is a scholarly article[1].

Key Facts

  • Bayesian structural model updating using ambient vibration data collected by multiple setups's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian structural model updating using ambient vibration data collected by multiple setups. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-structural-model-updating-using-ambient-vibration-data-collected-by-multiple-setups
MLA “Bayesian structural model updating using ambient vibration data collected by multiple setups.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-structural-model-updating-using-ambient-vibration-data-collected-by-multiple-setups.
BibTeX @misc{4ortxyz_bayesian-structural-model-updating-using-ambient-vibration-data-collected-by-multiple-setups_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian structural model updating using ambient vibration data collected by multiple setups}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-structural-model-updating-using-ambient-vibration-data-collected-by-multiple-setups}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian structural model updating using ambient vibration data collected by multiple setups — https://4ort.xyz/entity/bayesian-structural-model-updating-using-ambient-vibration-data-collected-by-multiple-setups (retrieved 2026-05-24)

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