Abstract
To solve some technological tasks, developers face a number of problems of formalization, modeling and management of production processes. Especially often difficulties arise when solving problems of detecting and eliminating defects. This is due to the fact that the same defects can appear for different reasons or for a set of reasons; one reason can lead to defects of different types; different values of the cause indicators can cause different defects; the complex of various causes that caused the appearance of certain defects can be eliminated by many combinations of actions taken in this case; the reasons for the appearance of defects can be so many that traditional deterministic modeling methods may be useless; in practice, the experience of a specialist who has worked for many years on the equipment of these technological processes can be very important and effective than complex software and technical complexes for automating the production of some product. The article considers the proposed method for detecting the causes of various manufacturing defects based on the use of fuzzy logic. The developed model and algorithms are implemented as part of a fuzzy expert system. The functional structure of the system with the description of subsystems is given. The proposed system is universal for solving problems of the type "Defect-Cause-Action".
First Page
185
Last Page
189
References
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Recommended Citation
Rakhmatullaev, Marat
(2020)
"FUNCTIONAL STRUCTURE OF THE ADVISING EXPERT SYSTEM "DEFECT-CAUSE-ACTION","
Chemical Technology, Control and Management: Vol. 2020:
Iss.
5, Article 32.
DOI: https://doi.org/10.34920/2020.5-6.185-188
