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In modern process industries fault detection is becoming more important. Many fault detection methods are based on Hotelling's T2 statistic. With an increasing number of variables, the Q statistic can detect only larger failures in the variables. A new method is introduced to improve the fault detection of T2 and MEWMA (multivariate exponential weighted moving average) control charts. The basic idea...
This paper deals with the thickness control of single cold rolling mills and with the combined thickness and tension control of tandem cold rolling mills. It is shown that PI(D) controllers can be effectively replaced by the predictive functional control (PFC), which can be easily implemented and tuned under industrial automation environments. The rolling mill was first physically modelled based on...
With increasing number of variables the Hotelling's T2 statistic can detect only larger failures in the variables. A new method is introduced for reducing the dimension of the Hotelling's statistic in order to detect smaller failures. The basic idea is to group some variables into a combined variable and to calculate the T2 value from this variable and from the remaining variables. As the new calculated...
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