Pregled bibliografske jedinice broj: 166418
An approach to systematic selection of parameters for generator set optimization
An approach to systematic selection of parameters for generator set optimization // Intelligent Manufacturing & Automation: Learning From Nature / Katalinić B. (ur.).
Beč: Vienna University of Technology, 2002. str. 417-418 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 166418 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An approach to systematic selection of parameters for generator set optimization
Autori
Pavletić, Duško ; Mrakovčić, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Intelligent Manufacturing & Automation: Learning From Nature
/ Katalinić B. - Beč : Vienna University of Technology, 2002, 417-418
Skup
The 13th INTERNATIONAL DAAAM SYMPOSIUM
Mjesto i datum
Beč, Austrija, 23.10.2002. - 26.10.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Generator set; Cause-and-effect diagram; Cause-and-effect matrix; Process map
Sažetak
The main problem which is addressed in this paper ia an adequate settings of generator set parameters significance level as well as influence of parameters on optimal generator set performance. To accomplish such task it is necessary to perceive comprehensive parameters relationship as well as level of influence of each parameter. At present, there are several tools for quality assurance and quality management at disposal. Before all, there are Cause-and-effect diagram and Cause-and-effect matrix added with Pareto analysis. By appropriate application of these tools the most influential parameters on optimal generator set performance can be selected, further explored and optimal values of parameters obtained. In the paper is presented approach to systematic selection of parameters for generator set optimization.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja