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首页> 外文期刊>The Canadian Journal of Chemical Engineering >Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017
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Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017

机译：多元统计流程监测算法理论研究与工程应用调查：2008-2017

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摘要

Multivariate statistical process monitoring (MSPM) methods are significant for improving production efficiency and enhancing safety. However, to the authors' best knowledge, there is no survey paper providing statistics of published papers over the past decade. In this paper, several issues related to MSPM methods are reviewed and studied. First, the annual publication numbers of journal articles concerning MSPM are provided to show the active development of this important research field and to point out several promising directions in the future. Second, the annual numbers of patents are also shown to demonstrate the practicality of different MSPM methods. Particularly, this paper also lists and analyzes the number of MSPM-related publications in China. The statistics indicate that Chinese researchers and engineers may have different viewpoints from those of other countries, which results in different development trends of MSPM in China.
机译：多变量统计过程监测（MSPM）方法对于提高生产效率和增强安全性很大。 然而，对于提交人的最佳知识，没有调查纸张在过去十年中提供出版论文的统计数据。 在本文中，审查和研究了与MSPM方法相关的几个问题。 首先，提供了关于MSPM的期刊文章的年度公布数量，以表明这一重要研究领域的积极发展，并指出未来几个有希望的方向。 其次，还显示了每年的专利数来证明不同MSPM方法的实用性。 特别是，本文还列出并分析了中国MSPM相关的出版物的数量。 统计数据表明，中国研究人员和工程师可能与其他国家的观点不同，这导致了中国MSPM的不同发展趋势。

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