Using Process Quality Prediction to Increase Resource Efficiency in Manufacturing Processes

2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI:10.1109/AI4I.2018.8665706

S. Matzka

引用次数: 3

Abstract

A method to increase the resource efficiency of screw-fastening processes using machine learning concepts to predict process quality early in the process is proposed. Predictor performance and economic effects of its application are evaluated.

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利用过程质量预测提高制造过程的资源效率

提出了一种利用机器学习概念在工艺早期预测工艺质量以提高螺钉紧固工艺资源效率的方法。对预测器的性能和应用的经济效果进行了评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2018 First International Conference on Artificial Intelligence for Industries (AI4I)

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