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Identification of damage in steel beam by natural frequency using machine learning algorithms

Research article (Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, 2024) · cited 11× · AI/ML
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Identification of damage in steel beam by natural frequency using machine learning algorithms

Summary

Identification of damage in steel beam by natural frequency using machine learning algorithms is a scholarly article[1].

Key Facts

  • Identification of damage in steel beam by natural frequency using machine learning algorithms's instance of is recorded as scholarly article[2].

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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). Identification of damage in steel beam by natural frequency using machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-damage-in-steel-beam-by-natural-frequency-using-machine-learning-algorithms
MLA “Identification of damage in steel beam by natural frequency using machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-damage-in-steel-beam-by-natural-frequency-using-machine-learning-algorithms.
BibTeX @misc{4ortxyz_identification-of-damage-in-steel-beam-by-natural-frequency-using-machine-learning-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of damage in steel beam by natural frequency using machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-damage-in-steel-beam-by-natural-frequency-using-machine-learning-algorithms}, note = {Accessed: 2026-05-24}}
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