@inproceedings{cb28134e484648aeaf0d8aa5d2071171,
title = "Statistical process monitoring for dynamic systems",
abstract = "In many production processes, particularly those in the chemical and process industries, process variables are driven by inertial forces and thus exhibit dynamic behavior. In some cases these dynamic distributions may be offset by a feedback/feedforward control scheme, while in others, compensation may not be fully possible, and considerable dynamic fluctuation in key process variables may still remain. This paper discusses statistical process monitoring for such systems considering both univariate and multivariate cases.",
author = "Douglas Montgomery and Mastrangelo, {Christina M.} and Lowry, {Cynthia A.}",
year = "1993",
month = dec,
day = "1",
language = "English (US)",
isbn = "0898061326",
series = "Proceedings of the Industrial Engineering Research Conference",
publisher = "Publ by IIE",
pages = "559--563",
editor = "Mitta, {Deborah A.} and Burke, {Laura I.} and English, {John R.} and Jennie Gallimore and Georgia-Ann Klutke and Tonkay, {Gregory L.}",
booktitle = "Proceedings of the Industrial Engineering Research Conference",
note = "Proceedings of the 2nd Industrial Engineering Research Conference ; Conference date: 26-05-1993 Through 28-05-1993",
}