Naslov
Measurements Data Analysis and Defect Classification Using NN

Autori
Radelja, Hrvoje ; Kršulja, Marko ; Šikulec, Leon ; Car, Zlatan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of International Conference on Innovative Technologies IN-TECH / Kudlaček, Jan ; Car, Zlatan ; Barišić, Branimir ; Pepelnjak, Tomaž ; Pakosta, Michal ; Kršulja, Marko - Prag : Tisk AS Jaroměř, 2011, 770-772

ISBN
978-80-904502-6-4

Skup
International Conference on Innovative Technologies IN-TECH 2010

Mjesto i datum
Bratislava, Slovačka, 01.09.2011. - 03.09.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
neural network; measurement; defect classification; CMM

Sažetak
This paper presents an analysis of measurement data of turbine housing workpieces, collected with coordinate measuring machine (CMM), so it can be used to train neural network to identify defect workpieces. Software used to create and train neural network are Matlab and NeuroSolutions. Comparison of minimum training mean square error (EMS) for different number of neurons in hidden layer is given and the best number of neurons is chosen. Methodology for reducing the number of necessary dimensions to efficiently classify defects is researched.

Izvorni jezik
Engleski

Znanstvena područja
Metalurgija, Računarstvo, Strojarstvo

POVEZANOST RADA