Математическая модель оценки риска отказа подсистемы "человек " в системе "человек-машина-среда"
Journal Title: Математичне моделювання - Year 2016, Vol 1, Issue 2
Abstract
A MATHEMATICAL MODEL FOR ASSESSMENT SUBSYSTEM FAILURE "HUMAN" IN THE SYSTEM "HUMAN-MACHINE-ENVIRONMENT" L`Dovskaia A.V., Meshchaninov S.K. Abstract In connection with the increasing introduction of more sophisticated technology in all spheres of human activity and accelerated production equipment increasingly there is a need to ensure trouble free operation of machines and various technological equipment in all spheres of human activities, and primarily in production. All emergency situations can be called a failure of the system "Human – Machine - Environment". To date, the subsystem "Human " of the system "Human – Machine - Environment" is, on the one hand, the most vulnerable part, due to the instability of his psychophysiological state, and on the other hand, in case of unexpected technical problems, it is the "Human " can most flexibly respond to the changing situation and minimize the damage from the accident. The aim of this work is to develop mathematical models for estimating the state of the subsystem "Human" human-machine system. One of the main difficulties on the way to creating the required models to do with the specifics of the recorded information. Measured parameters on the one hand variable from individual to individual, and on the other there is a need to calculate their "total" value, taking into account the nonlinearity of their interactions. For this reason, difficulties arise in mathematical processing and decision-making. The paper proposed the mathematical model and method of assessing the risk of failure of the subsystem "Human" human-machine system. In this model, you can use any number of measurable parameters, setting their mutual influence. On the basis of the proposed can be created in the future, computer simulation model to assess the risk of failure of the subsystem "Human" human-machine system. References [1] Grazdankin A.I. Expertnaya sistema otsenki tehnogennogo riska opasnih proizvodstvennih ojectov/ А.I. Grazdankin, P.G. Belov // Bezopasnost truda v promishlennosti. – 2000. – N 11. – PP. 6–10. (russion) [2] Henli E. Nadezhnost system i otsenka riska / Henli Э. Dh., Кumamoto H. – Маshinostroenie, 1984. – 528 p. (russion) [3] Boykо V.І., Мeshaninov S.К. Моdeluvannya nadiynosti funktsionuvannya ludino-mashinnih system v umovah suchasnoyi technosfery. – Dniprodzerzinsk «DDTU» 2014. – 154 p. (ukrainian) [4] Prikladnie nechetkie sistemy: per. s yap. К. Аsayi, D. Vatadа, S. Ivai /pod red. Т. Тerano, К. Аsayi, М. Sugenо. – М.: Мir, 1993. – 368 p. (russion) [5] Fukunaga К. Vvedenie v statisticheskuyu teoriyu raspoznavaniya obrazov: per. s angl. Gl. red. fiziko- matematicheskoy literaturi, М: Мir, 1979. – 368 p. (russion) [6] Fomin Y. A. Pattern recognition: theory and application. – 2nd ed. – M.: FAZIS, 2012. – 429 S. – ISBN 978-5-7036-0130-4 [7] Fishbern P. Teoriya poleznosti dlia priniatiya resheniy. М.: Nauka, 1978. – 242 p. (russion) [8] Lotov A.V., Pospelova I. I. Multi-criteria decision-making tasks: textbook – M: MAKS Press, 2008. – 197 p [9] Machonin, J. K. Theory of management. The mathematical apparatus of management : [ucheb. guide] / Y. K. Machonin .– M. : Logos, 2013 .– (New University library) .– ISBN 978-5-98704-736-1 [10] Kaufmann A., Gupta M. Introduction to Fuzzy Arithmetic: Theory and Applications. - Van Nostrand Reinhold, 1991. – 330 p. (english) [11] Rizhov А.P. Elementy teorii nechetkih mnozestv i izmereniya nechetkosti. М.: Dialog-МGU, 1998. – 242 p. (russion).
Authors and Affiliations
А. В. Льдовская, С. К. Мещанинов
Keywords
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