工业过程控制的大数据分析

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2017-09-01 DOI:10.1109/ETFA.2017.8247658

A. R. Khan, H. Schiøler, M. Kulahci, T. Knudsen

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引用次数: 5

摘要

今天，在现代工厂里，生产的每一步都产生大量有价值的、高度精确的信息。这为理解流程中隐藏的统计依赖关系提供了一个很好的机会。系统分析和利用先进的分析方法可以导致更明智的决策。在本文中，我们将讨论制造业中与大数据分析相关的一些挑战以及应对这些挑战的相关解决方案。

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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Big data analytics for industrial process control

Today, in modern factories, each step in manufacturing produces a bulk of valuable as well as highly precise information. This provides a great opportunity for understanding the hidden statistical dependencies in the process. Systematic analysis and utilization of advanced analytical methods can lead towards more informed decisions. In this article we discuss some of the challenges related to big data analysis in manufacturing and relevant solutions to some of these challenges.

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来源期刊

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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