haku: @author Runger, G. C. / yhteensä: 9
viite: 4 / 9
Tekijä: | Runger, G. C. |
Otsikko: | Multivariate statistical process control for autocorrelated processes (statistische Methode) |
Lehti: | International Journal of Production Research
1996 : JUN, VOL. 34:6, p. 1715-1724 |
Asiasana: | |
Vapaa asiasana: | STATISTISCHE QUALITÄTSKONTROLLE |
Kieli: | eng |
Tiivistelmä: | Multivariate statistical process control is often used in chemical and process industries where autocorrelation is most prevalent. This paper presents a realistic model that generates autocorrelation and cross-correlation and provides a useful approach to characterizing process data. The model relates to the method of principal component analysis, distinguishes between types of assignable causes, and presents a useful control statistic based on a principal component decomposition that is not autocorrelated. |
SCIMA