Algorithm for Economical Characteristics Identification a Machining System

Authors

  • 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

Keywords:

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.

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Published

2018-11-18

Issue

Section

Articles

How to Cite

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

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