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Raport Badawczy = Research Report ; RB/46/2013
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
23 stron ; 21 cm ; Bibliografia s. 23
SPC procedures are usually designed to control stability of directly observed parameters of a process. However, when quality parameters of interest are related to reliability characteristics it is practically hardly possible to monitor such characteristics directly. Instead, some training data was used to build a model that is used for the prediction of the value of an unobservable variable of interest basing on the values of observed explanatory variables. The article considers the model of a process when traditionally applied assumptions are violated. It has been shown that in this case some non-statistical prediction models proposed in the area of data-mining, such as Quinlan’s C4.5 decision tree, perform better than popular linear prediction models. However, new problems have to be considered when shifts in the levels of process parameters may influence the performance of applied classification algorithms.
Raport Badawczy = Research Report
Licencja Creative Commons Uznanie autorstwa 4.0
Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Instytut Badań Systemowych Polskiej Akademii Nauk
Biblioteka Instytutu Badań Systemowych PAN
Oct 19, 2021
Jan 27, 2020
76
https://rcin.org.pl./publication/137208
Edition name | Date |
---|---|
RB-2013-46 : Hryniewicz Olgierd, Karpiński Janusz : Process Control Using Predicted Quality Data | Oct 19, 2021 |
Hryniewicz, Olgierd (1948– ) Olwert, Anna
Nowak, Marcin Czarnecki, Kamil
Grzegorzewski, Przemysław (1963– ) Ostrycharz, Małgorzata
Hryniewicz, Olgierd (1948– )
Hryniewicz, Olgierd (1948– ) Kaczmarek-Majer, Katarzyna
Kacprzyk, Janusz (1947– ) Zadrożny, Sławomir