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An improved Bayesian network for deviation diagnosis in high-speed spinning winding chuck assembly

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Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Volume 240, Issue 5, Page 704-716, April 2026.
The quality of mechanical assembly is essential for ensuring the overall performance and reliability of the final product. However, current methods for diagnosing assembly deviations often fail to meet the practical demands of assembly quality assessment. ...