Robust Monitoring of Contaminated Multivariate Data

نویسنده

  • Eric B. Howington
چکیده

Monitoring a process that suffers from data contamination using a traditional multivariate T 2 chart can lead to an excessive number of false alarms. This paper extends the diagnostic statistic technique of Davis and Adams [1] to the multivariate case. A traditional T 2 control chart augmented by a diagnostic statistic improves the work stoppage rates for contaminated multivariate data and maintains the ability to detect process shifts.

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عنوان ژورنال:
  • ADS

دوره 2013  شماره 

صفحات  -

تاریخ انتشار 2013