A novel tolerance geometric method based on machine learning
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DOI: 10.1007/s10845-020-01706-7
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- Tian Wang & Meina Qiao & Mengyi Zhang & Yi Yang & Hichem Snoussi, 2020. "Data-driven prognostic method based on self-supervised learning approaches for fault detection," Journal of Intelligent Manufacturing, Springer, vol. 31(7), pages 1611-1619, October.
- Yueyi Zhang & Lixiang Li & Mingshun Song & Ronghua Yi, 2019. "Optimal tolerance design of hierarchical products based on quality loss function," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 185-192, January.
- Germán González Rodríguez & Jose M. Gonzalez-Cava & Juan Albino Méndez Pérez, 2020. "An intelligent decision support system for production planning based on machine learning," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1257-1273, June.
- Atul Mishra & Sankha Deb, 2019. "Assembly sequence optimization using a flower pollination algorithm-based approach," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 461-482, February.
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Keywords
Computer-aided tolerancing (CAT); Tolerance specification; Machine learning; Feature engineering; Optimization problem;All these keywords.
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