Algorithm for Economical Characteristics Identification a Machining System

Autor/innen

  • Alexandru Epureanu Dunarea de Jos University of Galati
  • Florin Buruiana Dunarea de Jos University of Galati
  • Sorin Ciuntu Dunarea de Jos University of Galati
  • Florin Susac Dunarea de Jos University of Galati
  • Alice Tofan Dunarea de Jos University of Galati

Schlagwörter:

machining system, economical characteristics, unsupervised learning, adaptive control

Abstract

In the last years, the market evolution is characterized more and more by many changes such as increasing of the new products frequency that are often personalized, large fluctuations of the structure and the commands volume and few fundamental changes in technology. The economical characteristics refer to the relationship between manufacturing and the economical indicators level of the manufacturing system. Technical-economical characteristics identification of a manufacturing system requests developing of an identification algorithm, using knowledge techniques (Knowledge Discovery from Databases and Artificial Neural Network) that should take into account all the current changes of the market. The paper proposes an algorithm for identification of the economical characteristics of a drilling machining system based on the Knowledge Discovery from Databases.

Downloads

Download-Daten sind nocht nicht verfügbar.

Veröffentlicht

2018-11-18

Ausgabe

Rubrik

Articles

Zitationsvorschlag

1.
Algorithm for Economical Characteristics Identification a Machining System. Ann_UGAL_TMB [Internet]. 18. November 2018 [zitiert 2. November 2026];25:135-40. Verfügbar unter: https://ojs.ugal.ro/index.php/tmb/article/view/1496

Am häufigsten gelesenen Artikel dieser/dieses Autor/in

<< < 1 2 3 4 5 6 > >>