ASSESSMENT OF RELIABILITY, CAUSES AND CONSEQUENCES OF FAILURES OF REFINERY AUTOMATED SYSTEMS BASED ON APPLICATION OF A COMMON DESIGNING AND OPERATIONAL DATA BASE OF INDUSTRIAL CONTROL SYSTEMS
https://doi.org/10.21683/1729-2646-2014-0-2-3-14
Abstract
The reliability of management and technical control systems is an important constituent of their quality and indispensable condition of safety ensurance of hazardous production facilities of oil refining. Assessment of reliability and maintainability of automated control systems are provided for by national and international standards and other regulations. The purpose of this assessment is to obtain quantitative information about the properties of systems required to develop and implement well-grounded, effective design and operational decisions to ensure the dependability and safety of industrial facilities.
Construction of a common database of life cycle stages of automated control systems, including design and operational data, e.g. of ICS, as regards hardware and software failures, allows us to define real dependability indices of equipment in operation in view of design solutions and installation peculiarities.
About the Authors
S. L. PegushinRussian Federation
Post graduate student
A. G. Shumikhin
Russian Federation
Doctor of Technical Sciences, professor, member of International Academy of Systems Researches, associated member of Russian Academy of Engineering Sciences, Head of ATP Chair
References
1. Ostreikovsky V.A. The theory of reliability. – Moscow: Higher School, 2003 – 463 p.
2. Pegushin S.L., Shumikhin A.G. Maintenance planning of SIS automatic systems of production facilities in view of assessment of reliability and maintainability. Bulletin of the Perm National Research Polytechnic University. Chemical Technology and Biotechnology. , 2012.# 14. pp. 13-21.
Review
For citations:
Pegushin S.L., Shumikhin A.G. ASSESSMENT OF RELIABILITY, CAUSES AND CONSEQUENCES OF FAILURES OF REFINERY AUTOMATED SYSTEMS BASED ON APPLICATION OF A COMMON DESIGNING AND OPERATIONAL DATA BASE OF INDUSTRIAL CONTROL SYSTEMS. Dependability. 2014;(2):3-14. https://doi.org/10.21683/1729-2646-2014-0-2-3-14