10.14489/td.2024.03.pp.058-062

2024, 03 March

DOI: 10.14489/td.2024.03.pp.058-062

Yastrebov A. P.
APPLICATION OF PREDICTIVE CONTROL TO IMPROVE THE QUALITY OF MANUFACTURING PROCESSES
(pp. 58-62)

Abstract. A progressive method of condition -based maintenance of production processes is considered. It is shown that an effective means for its implementation is the use of predictive control. Proposals have been formulated for the use of a reliability-cost criterion that characterizes the effectiveness of maintenance with predictive performance, quantitative relationships have been derived that make it possible to evaluate the reduction in the number of gradual failures when using maintenance with predictive control, as well as establishing the relationship between the effectiveness of maintenance and the reliability of forecasting. Using the concept of unused resource, the minimum reliability of predictive control is determined. Relationships have been obtained and practical recommendations have been formulated related to the selection of production process parameters for forecasting, which are based on the principle of their comparison based on the steepness of change over the observation interval, the root-mean-square error of prediction and the cost of costs for measures to monitor and prevent failures.

Keywords: predictive control, production process, gradual failures, maintenance, unused resource.

+ - About the Authors Click to collapse

A. P. Yastrebov (St. Petersburg State University of Aerospace Instrumentation, St. Petersburg, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - References Click to collapse

1. Brzhozovskiy B. M., Martynov V. V., Skhirtladze A. G. (2022). Diagnostics and reliability of automated systems. Stariy Oskol: TNT. [in Russian language]
2. Yastrebov A. P. (2021). Improving the Quality of Corporate Information Systems Development Based on a Risk-Based Approach. International Journal of Risk Assessment and Management, 24(2/3/4), 117 – 125.
3. Podmaster'ev K. V., Moiseev S. A. (2012). Predictive control of electronic equipment with adaptive time intervals. Part 1. Theoretical foundations and models, characteristics of parameter drift. Fundamental'nye i prikladnye problemy tekhniki i tekhnologii, 293(3), 135 ‒ 144. [in Russian language]
4. Yastrebov A. P. (1997). Efficiency of automated control of parameters of instrument systems during maintenance based on condition. Izvestiya vuzov, (7), 64 ‒ 67. [in Russian language]

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