Predicting Assembly Geometric Errors Based on Transformer Neural Networks

Predicting Assembly Geometric Errors Based on Transformer Neural Networks

Using optimal assembly relationships, companies can enhance product quality without significantly increasing production costs. However, predicting Assembly Geometric Errors presents a challenging real-world problem in the manufacturing domain. To address this challenge, this paper introduces a highl...

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Bibliographic Details
Main Authors: Wu Wang, Hua Li, Pei Liu, Botong Niu, Jing Sun, Boge Wen
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Machines
Subjects:
long sequence forecasting
geometric errors
assembly precision
artificial intelligence
data processing
Online Access:https://www.mdpi.com/2075-1702/12/3/161

Internet

https://www.mdpi.com/2075-1702/12/3/161

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