Conclusions
Evaluation of functional ability and quality is usually conducted with methods based on mathematical statistics and probability theory (in functional fitness evaluation) and on the theory of mean values (in quality assessments).
In this paper, the authors assume that control (evaluation) of a production process is a combination of monitoring of the state of production equipment and the state of product throughout the stages of its processing. On the basis of AL, making use of logical connections between these objects, mathematical models are constructed for industrial process control. These models represent different degrees of control stringency at different stages. The possibility of combining an assessment of the functional fitness of equipment with the comprehensive product quality assessment is provided by the flexibility of AL apparatus, which allows the construction of estimates for objects to be described in fuzzy terms.
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Literature cited
Ya. Ya. Golota et al., in: Integrated Experimental Production Lines as a Means to Development of Comprehensive Automation Systems: Proceedings of a Seminar [in Russian], LDNTP, Leningrad, (1991), p. 63.
Ya. Ya. Golota, in: Problems of Software Development for New Information Technologies, D. A. Pospelov and V. P. Kupriyanov (eds.), [in Russian], Tsentrprogrammsistem, Kalinin (1989), p. 66.
Additional information
Translated from Izmeritel'naya Tekhnika, No. 9, pp. 8–10, September, 1991.
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Golota, Y.Y., Kolosova, O.V., Tisenko, V.N. et al. Automatic control of industrial processes (an antonym-logic approach). Meas Tech 34, 861–865 (1991). https://doi.org/10.1007/BF00980786
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DOI: https://doi.org/10.1007/BF00980786