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  • 标题:Comparison of Two Basic Statistics for Fault Detection and Process Monitoring
  • 本地全文:下载
  • 作者:Zhiwen Chen ; Kai Zhang ; Yuri A.W. Shardt
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:14776-14781
  • DOI:10.1016/j.ifacol.2017.08.2586
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, two common statistics, theT2and the Q statistics, for fault detection and process monitoring are compared. Specifically, the geometric relationship between theT2statistic and 3 common forms of theQstatistics is analysed. Furthermore, using the false alarm rate (FAR) and the fault detection rate (FDR), the fault detection performance of both statistics is quantified and compared. The results show that, for a given significance level, theT2statistic has the best overall FDR.
  • 关键词:KeywordsT2statisticQstatisticmultivariate statistical fault detectionprocess monitoring
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