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Reliability of analytical systems: use of control charts, time series models and recurrent neural networks (RNN)

✍ Scribed by A. Rius; I. Ruisánchez; M.P. Callao; F.X. Rius

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
469 KB
Volume
40
Category
Article
ISSN
0169-7439

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✦ Synopsis

In this tutorial, the techniques used to study the reliability of analytical systems over time are discussed. The most classi-Ž . cal approach is to use statistical process control SPC with control charts, and its principal characteristics, benefits and limi-Ž . tations are shown. The advanced process control APC approach, developed and mainly used in the field of engineering, is also studied and its possibilities for monitoring chemical measurement processes evaluated. The fundamentals and potentiali-Ž . ties of recurrent neural networks RNN in this field are also presented. The bases of these three approaches are described, and their advantages and drawbacks discussed. They are applied to a simulated time series and to real process analytical data, and the results obtained for these data are compared.

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