Engineering object quality management by using artificial intelligence-based learning systems
FOUNDER
V.M. Pashkevich, Doctor of Engineering, Associate Professor.
RESEARCH FELLOWS
M.F. Pashkevich, Doctor of Engineering, Professor,
Zh.A. Mrochek, Doctor of Engineering, Professor (BNTU),
Y.V. Kozlov, engineer,
D.A. Zabelin, assistant lecturer,
M.N. Mironova, PhD in Engineering, assistant lecturer.
MAIN RESEARCH TASKS
- development of design and manufacturing methods for improving the quality of engineering objects based on their mathematical and computer modeling;
- development and investigation of algorithms for learning and self-learning of computer systems to control the quality of engineering objects;
- development and investigation of learning systems to control the accuracy of machining on the basis of standard configurations;
- development and investigation of learning systems to control the accuracy of machining on the basis of functional semantic networks;
- development and investigation of learning systems for assessing the engineering level of mechanical transmissions, actuators of technological equipment and other complex engineering objects and for diagnosing their condition, based on their kinematic characteristics;
- development and investigation of learning systems to control the accuracy of mechanical transmission assembly;
- development and investigation of intelligent systems to design technological equipment on the basis of functional semantic networks.
CENTERS AND LABORATORIES
Laboratory of Computer-Based Measuring Instruments (r.109)
CONTACT DETAILS FOR THE HEAD OF THE SCIENTIFIC SCHOOL
Viktor Mikhailovich Pashkevich
Phone: +375222250905
Fax: +375222251091
E-mail:
