Author/Authors
Henk-Jan Ramaker، نويسنده , , Eric N.M. van Sprang، نويسنده , , Johan A. Westerhuis and Age K. Smilde، نويسنده ,
DocumentNumber
1384692
Title Of Article
Fault detection properties of global, local and time evolving models for batch process monitoring
شماره ركورد
11332
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.
From Page
799
NaturalLanguageKeyword
Overall type I error , MSPC , Statistical batch process monitoring
JournalTitle
Studia Iranica
To Page
805
To Page
805
Link To Document