Title of the article

TECHNOGENIC RISK, RELIABILITY AND DIAGNOSTICS OF TECHNICAL SYSTEMS: APPROACHES, MODELS, METHODS

Authors

Makhutov N.A., Corresponding Member of Russian Academy of Sciences, Doctor of Technical Sciences, Professor, Head of the Scientific School IMASH RAS "Safety and Security of Critical and Strategic Infrastructures", Moscow, Russia


Zatsarinnyi V.V., Candidate of Technical Sciences, Senior Researcher at the Laboratory of Fracture mechanics and Vitality of the Institute of Mechanical Engineering n.a. A.A. Blagonravov RAS, Moscow, Russia

Algin V.B., Doctor of Technical Science, Professor, Deputy Director in Sciences, Joint Institute of Mechanical Engineering of the NAS of Belarus, Minsk, Republic of Belarus, This email address is being protected from spambots. You need JavaScript enabled to view it.


Ishin N.N., Candidate of Technical Science, Associate Professor, Deputy Director of the STC "Mining equipment", Joint Institute of Mechanical Engineering of the NAS of Belarus, Minsk, Republic of Belarus

In the section INTERNATIONAL COOPERATION
Year 2012 Issue 3-4 Pages 67-85
Type of article RAR Index UDK 621-192:504.1 Index BBK  
Abstract

An interpenetrating character of concepts «reliability», «safety», and «risk» in the general structure of the concepts defining quality of technical system is demonstrated. Problems of categorization and estimation of technogenic risks of objects of the technical regulation, dangerous industrial objects, and critically and strategically important objects are
considered. Methods for calculation of real machines reliability, which are based on modelling the failures (limiting states) of machine as a multilevel system and reproduction of its components dependent behaviours, are presented. Classification and models of life calculations, methodology of an estimation of technical state and monitoring vibration for transmission
units of mobile machines are resulted. Approaches to solving problems of reliability and safety of technical systems which are considered by experts of Institute of Machines Science named after A.A.Blagonravov of the Russian Academy of Sciences and Joint Institute of Mechanical Engineering of National Academy of Sciences of Belarus work are described.

Keywords

eliability, safety, risk, diagnostics, calculation, modeling, forecasting, software

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