Methodology for failure analysis of complex technical systems and prevention of their consequences
Keywords:
analysis, probability, failure, consequences, performance, complex technical system.
Abstract
The paper presents a study on the methodology of failures and their possible consequences analysis. Analysis of failures and their consequences is carried out for newly developed or modernized products and it is one of main activities in the reliability assurance system. The methodology is applied to the analysis of all designed systems, starting from the earliest stage of development, in order to evaluate the approach to development and compare the advantages of the design solution. The considered analysis of failures and their consequences of components is a part of the complex analysis of reliability of the whole product. Depending on the complexity of the design and the available data, a particular approach may be chosen for the analysis. In one case, it is a structural approach, in which a list of individual elements and their possible failures is compiled. In another case, it is the functional approach, which is based on the statement that each element must perform a number of functions that can be classified as solutions. The results provide a scheme for conducting the analysis and finding solutions to prevent them. The conclusions say that the level of detail determines the level at which failures are postulated.
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References
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Smirnov, V. A. (2019). Intelligent decision support system for the control of complex technical systems. Journal of Physics: Conference Series, 1327(1), 012009.
Alexandrova, E. Yu., Kramynina, G. N., & Gromyshova, S. S. (2020). Analysis of failures of technical means in a complex structured transport system. Young science of Siberia, 2, 94-100. (In Russian)
Astrom, K. J., & Kumar, P. R. (2014). Control: a Perspective. Automatica, 50(1), 3-43.
Baillieul, J., & Samad, T. (2015). Encyclopedia of systems and control. London: Springer.
Boran-Keshishyan, A. L. (2013). Analysis of the reliability of technical means of complex human-machine systems with the known laws of time distribution before the failure of elements. Advanced Engineering Research, 5-6(74), 59-67. (In Russian)
Bubnicki, Z. (2005). Modern control theory. Berlin: Springer.
Carayannis, E., & Coleman, J. (2005). Creative system design methodologies: the case of complex technical systems. Technovation, 25(8), 831-840.
Gilmore, R. (1981). Catastrophe theory for scientists and engineers. New-York: John Wiley and Sons.
Grishko, A. K. (2016). Analysis of the reliability of the structural elements of a complex system, taking into account the failure rate and parametric deviation. Models, systems, networks in economics, technology, nature and society, 3(19), 130-137. (In Russian)
Kapitonov, M. V. (2021a). Course-keeping ability of heavy transport units with an arbitrary number of links. AIP Conference Proceedings, 2402(1), 030016.
Kapitonov, M. V. (2021b). Mathematical model of the kinematics of turning of wheeled construction equipment with real and ideal control systems for steering the wheels of a semi-trailer. AIP Conference Proceedings, 2402(1), 020012.
Katulev, A. N., Severtsev, N. A., & Prokopyev, I. V. (2016). Algorithm and results of assessing the structural safety of the functioning of nonlinear autonomous dynamic systems. Proceedings of the International Symposium “Reliability and Quality”, 1, 68-72. (In Russian)
Kochegarov, I. I. (2012). The choice of a structural scheme of reliability using software. Proceedings of the International Symposium “Reliability and Quality”, 1, 414.
Kuravsky, L. S., & Yuryev, G. A. (2020). A novel approach for recognizing abnormal activities of operators of complex technical systems: three non-standard metrics for comparing performance patterns. International Journal of Advanced Research in Engineering and Technology (IJARET), 11(4), 119-136.
Kuravsky, L.S., Yuriev, G.A., Zlatomrezhev, V.I., Yuryeva, N.E., & Mikhaylov, A.Y. (2020). Evaluating the Contribution of Human Factor to Performance Characteristics of Complex Technical Systems. Modelling and Data Analysis, 10(1), 7-34.
Lebedeva, O., Kripak, M., & Gozbenko, V. (2018). Increasing effectiveness of the transportation network by using the automation of a Voronoi diagram. Transportation Research Procedia, 36, 427-433.
Lesin, N. I., Lesin, D. N., & Stepanov, I. M. (2012). Errors in assessing the technical state of complex systems. Forestry bulletin, 6(89), 75-76. (In Russian)
Lontsikh, P. A., & Boryushkina, S. A. (2010). Analysis of product failures using quality tools to ensure product competitiveness. Irkutsk State Technical University Bulletin, 5(45), 307-311. (In Russian)
McCulloch, P., Mishra, A., Handa, A., Dale, T., Hirst, G., & Catchpole, K. (2009). The effects of aviation-style non-technical skills training on technical performance and outcome in the operating theatre. BMJ Quality & Safety, 18(2), 109-115.
Meacham, B. J., & van Straalen, I. J. (2018). A socio-technical system framework for risk-informed performance-based building regulation. Building Research & Information, 46(4), 444-462.
Military Standard MIL-STD-1629A-1984 (1980). Military Standard “Procedures for Performing a Failure Mode, Effects and Criticality Analysis”, November 24, 1980. Retrieved at http://sixsigmaonline.ru/Files/001/MIL-STD-1629.pdf
Polynskaya, M. M., & Enderyukova, M. A. (2015). Application of statistical methods in the analysis of failures of technical means. Science and Education Bulletin, 4(6), 118-123. (In Russian)
Sadikhov, G. S., Savchenko, V. P., & Sidnyaev, N. I. (2015). Models and methods for assessing the residual life of electronics products. Moscow: Publishing house of the Moscow State Technical University. N.E. Bauman. (In Russian)
Severtsev, N. A. (2013). System analysis of determining the parameters of the state and parameters of monitoring the object to ensure safety. Reliability and quality of complex systems, 1, 4-10. Retrieved at https://cyberleninka.ru/article/n/sistemnyy-analiz-opredeleniya-parametrov-sostoyaniya-i-parametry-nablyudeniya-obekta-dlya-obespecheniya-bezopasnosti
Shamraeva, V. (2018). Some class of the interpolating martingale measures on a countable probability space. Global and Stochastic Analysis, 5(2), 121-127.
Shibaev, D. S., Vyuzhuzhanin, V. V., Rudnichenko, N. D., Shibaeva, N. O., & Otradskaya, T. V. (2019). Data control in the diagnostics and forecasting the state of complex technical systems. Herald of Advanced Information Technology, 2(3), 183-196.
Smirnov, V. A. (2019). Intelligent decision support system for the control of complex technical systems. Journal of Physics: Conference Series, 1327(1), 012009.
Published
2021-12-30
How to Cite
Amosov, A. G., Golikov, V. A., Mikhailova, E. V., & Rozhdestvensky, O. V. (2021). Methodology for failure analysis of complex technical systems and prevention of their consequences. Amazonia Investiga, 10(48), 43-51. https://doi.org/10.34069/AI/2021.48.12.5
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