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<div><p>As a crucial component in rotating machinery, bearings are prone to varying degrees of damage in practical application scenarios. Therefore, studying the fault diagnosis of bearings is of great significance. This article proposes the Kepler algorithm to optimize the weights of ne...

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Autore principale:	Yu Jie Guang (22184340) (author)
Altri autori:	Xiao Shun Gen (22184343) (author), Song Meng Meng (22184346) (author), Yu Wen Hui (22184349) (author), Fang Yan (134746) (author), Ying He Jie (22184352) (author)
Pubblicazione:	2025
Soggetti:	Molecular Biology Biotechnology Cancer Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified practical application scenarios party bearing data ignore useless information fault diagnosis model fault diagnosis useful information xlink "> varying degrees using third rotating machinery neural networks kepler algorithm great significance diagnostic accuracy crucial component attention mechanisms attention mechanism article proposes algorithm proposed
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