Napredna pretraga

Pregled bibliografske jedinice broj: 166418

An approach to systematic selection of parameters for generator set optimization


Pavletić, Duško; Mrakovčić, Tomislav
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)


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, 23-26.10.2002

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



POVEZANOST RADA


Projekt / tema
0069012