Automatic Evaluation of the Robotic Production Process for an Aircraft Jet Engine Casing
M. Uliasz, Artur Ornat, Andrzej Burghardt, Magdalena Muszyńska, Dariusz Szybicki, Krzysztof Kurc
- Year
- 2022
- Citations
- 4
- Access
- Open access
Abstract
This paper investigated the design of a system to monitor the status of the robotic welding process of thin-walled components for an aircraft jet engine. Opportunities to measure and log processing parameters, such as welding speed, current, and voltage, on the existing production cell were taken. The acquired data were processed using elements of descriptive statistics. Obtained indicators were matched with physical inspection results of the weld’s quality. The adopted methodology was used to identify an essential parameter determining the presence of defined weld defects. The developed solution was implemented in the production cell.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991