在制造车间部署预测分析的经验教训

2020 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2020-01-01 DOI:10.1109/RAMS48030.2020.9153728

Alex Romriell, R. Niculescu, David Kessler, Tracey Kroll

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引用次数: 0

摘要

机器学习技术已经成功地应用于制造高科技飞机零件的一组自动纤维放置(AFP)机器上，以提供某些错误即将发生的提前警告。这允许采取主动行动，以防止不必要的停机时间和提高机器吞吐量。

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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Lessons from Deploying Predictive Analytics on Manufacturing Shop Floor

Machine Learning techniques have been successfully deployed to provide advanced warning that certain errors are going to occur on a set of automated fiber placement (AFP) machines manufacturing high tech plane parts. This allows proactive actions to be taken to prevent unnecessary downtime and increase machine throughput.

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2020 Annual Reliability and Maintainability Symposium (RAMS)

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