Synthesis of an Adaptive System for Diagnosing the Quality of Automated Welding Products
Valeria P. Egorova, M. A. Gorkavyy, A.Y. Efimov, Denis B. Solovev
- 发表年份
- 2019
- 引用次数
- 7
摘要
The paper analysis was performed of the current state of affairs in the field of quality control of welded joints and the subsequent decision on troubleshooting products. A set of parameters determining the quality of the welded joint in the class diagram format has been determined. The set of parameters, including typical variables of technological requirements, is expanded by expert parameters that create the prerequisites for the formation of an adaptive quality diagnostic system. The concept of building an adaptive diagnostic system based on an intelligent module that implements the functions of decision-making support by a technologist, operator and controller of the production process is proposed. Possible knowledge representation models, as well as intelligent computing algorithms are identified. On the example of the technological process of robotic welding, a sketch of the system interface is shown. A preliminary forecast of the effects of using system is proposed.
关键词
相关论文
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