Abstract
The article substantiates the principles of managing the operational reliability of continuous production through the use of soft measurements and calculations. Instead of the traditional system of technical diagnostics based on the analysis of instantaneous values of diagnostic variables, a new approach is proposed. It is based on the analysis of the intervals of changes in diagnostic variables in a given time interval. The use of the proposed approach makes it possible to reduce the sensitivity to noise interference and delays in the dynamic channels between the input and output of a continuous technological process. An intelligent decision-making system based on the Dempster-Shafer theory is substantiated. The combination of these approaches makes it possible to create a more efficient system for managing the operational reliability of continuous production compared to traditional methods. The proposed approaches are illustrated by setting specific tasks with solutions of control examples.
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This project is supported by Russian Foundation for Basic Research (project no. 20-07-00199).
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Paliukh, B.V., Vetrov, A.N. (2022). Evolution Management of Multistage Manufacturing Based on Evidence Theory and Methods of Interval Analysis. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education V. AIMEE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107 . Springer, Cham. https://doi.org/10.1007/978-3-030-92537-6_13
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DOI: https://doi.org/10.1007/978-3-030-92537-6_13
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