Author/Authors :
Henk-Jan Ramaker، نويسنده , , Eric N.M. van Sprang، نويسنده , , Johan A. Westerhuis and Age K. Smilde، نويسنده ,
Title Of Article :
Fault detection properties of global, local and time evolving models for batch process monitoring
Latin Abstract :
This paper discusses alternative methods for batch process monitoring. Two alternative methods are investigated and compared
to an existing one (the benchmark). A description of the models is given and the performance is discussed by means of fault detection
performance indices. The performance indices used are the overall type I error and the action signal time. In order to evaluate
the performance of the models in terms of the overall type I error and action signal time, six different batch process data sets have
been used. The data sets comprise four industrial data sets, one simulated data set and a laboratory spectral data set.
NaturalLanguageKeyword :
Overall type I error , MSPC , Statistical batch process monitoring
JournalTitle :
Studia Iranica
