Algorithm for Calculating the Reliability of Chemical-Engineering Systems Using the Logical-and-Probabilistic Method in MATLAB
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Abstract
An algorithm for calculating the reliability using the logical-and-probabilistic method was developed in the MATLAB software package. An algorithm is applicable for inclusion in the module of a cyber-physical system for design and optimization of the chemical-engineering systems reliability. The accuracy of the algorithm was checked for systems of varying complexity with number of elements from 5 to 10. An example of program calculations is also presented. Using the developed algorithm, the reliability of the hydrotreating unit of a catalytic reforming unit under uncertainty was calculated.
Keywords
Reliability of technical-engineering systems Standard software package Probability of no-failure operation The logical and probabilistic method Chemical-engineering systemReferences
- 1.Feeney, A.B., Srinivasan, V., Frechette, S.: Cyber-physical systems engineering for manufacturing. In: Industrial Internet of Things: Cyber Manufacturing Systems, pp. 81–110 (2017)Google Scholar
- 2.Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S.: Cyber-physical systems in manufacturing. CIRP Annals Manuf. Technol. 65(2), 621–641 (2016)CrossRefGoogle Scholar
- 3.Okoh, P., Haugen, S.: Improving the robustness and resilience properties of maintenance. Process Saf. Environ. Prot. 94, 212–226 (2015)CrossRefGoogle Scholar
- 4.Woo, S.W.: The reliability design of mechanical system and its parametric accelerated life testing. In: Handbook of Materials Failure Analysis with Case Studies from the Chemicals, Concrete and Power Industries, pp. 259–276 (2016)CrossRefGoogle Scholar
- 5.Birolini, A.: Reliability Engineering: Theory and Practice, 7th edn, p. 626. Springer, Berlin (2014)CrossRefGoogle Scholar
- 6.Myers, A.: Complex System Reliability: Multichannel Systems with Imperfect Fault Coverage, 2nd edn, p. 238. Springer, London (2010)CrossRefGoogle Scholar
- 7.Gang, W., Wang, S., Augenbroe, G., Xiao, F.: Robust optimal design of district cooling systems and the impacts of uncertainty and reliability. Energy Buildings 122, 11–22 (2016)CrossRefGoogle Scholar
- 8.Lin, Y., Li, D., Kang, R.: Reliability modelling and simulation of complex systems. In: Chemical Engineering Transactions, pp. 469–474 (2013)Google Scholar
- 9.Mellal, M.A., Zio, E.: A penalty guided stochastic fractal search approach for system reliability optimization. Reliab. Eng. Syst. Saf. 152, 213–227 (2016)CrossRefGoogle Scholar
- 10.Abubakar, U., Sriramula, S., Renton, N.C.: Reliability of complex chemical engineering processes. Comput. Chem. Eng. 74(4), 1–14 (2015)CrossRefGoogle Scholar
- 11.Martowicz, A., Uhl, T.: Reliability- and performance-based robust design optimization of MEMS structures considering technological uncertainties. Mech. Syst. Signal Process. 32, 44–58 (2012)CrossRefGoogle Scholar
- 12.Guilani, P.P., Sharifi, M., Niaki, S.T.A., Zaretalab, A.: Reliability evaluation of non-reparable three-state systems using Markov model and its comparison with the UGF and the recursive methods. Reliab. Eng. Syst. Saf. 129, 29–35 (2014)Google Scholar
- 13.Malygin, E.: Automated Remote Access Laboratory “Design and Exploitation of Technological Systems”. In Malygin, E.N., Krasnyansky, M.N., Karpushkin, S.V., Mokrozub, V.G. (eds.) Vestnic TGTU, vol. 6(2). Tambov, pp. 332–335 (2000)Google Scholar
- 14.Krasnyansky, M.N., Malygin, E.N., Karpushkin, S.V., Chaukin, Y.V., Ostroukh, A.V.: Application of virtual simulators for training students of the chemical technology type and improvement of professional skills of chemical enterprises personnel. Vestnic TGTU, vol. 13(1B), Tambov, pp. 233–238 (2007)Google Scholar
- 15.An, Y.: Reliable Design and Operations of Infrastructure Systems. https://www.mobt3ath.com/uplode/book/book-17338.pdf (2019). Accessed 20 Feb 2019
- 16.Shubin, V., Ryumin, Yu.: The Reliability of the Equipment of Chemical and Oil-Refining Industries. Moscow, Himiya, KolosS Publ., p. 359 (2006) (in Russian)Google Scholar
- 17.Shvetsova-Shilovskaya, T., Kondrat’ev, V., Gorskii, V., Egorov, A., Polekhina, O., Gromova, T., Gamzina, T., Afanas’eva, A., Savitskaya, T., Nazarenko, D., Ivanov, D., Vikent’eva, M.: The Methodology and the Software for Assessment of Reliability and Operational Safety of Chemical Process Equipment: Monograph. Moscow, RHTU im. D. I. Mendeleeva Publ., p. 372 (2016) (in Russian)Google Scholar
- 18.Strogonov, A., Zhadnov, V., Polesskii, S.: Overview of program complexes by calculation of reliability of complex technical systems. Compon. Technol. 5, 183 (2007) (in Russian)Google Scholar
- 19.Egorov, A., Savitskaya, T., Nikitin, S.: The information system of reliability analysis of equipment and chemical technological systems using web technologies. Prikladnaya Informatika—J. Appl. Inf. 11(4, 64), 30–41 (2016) (in Russian)Google Scholar
- 20.Meshalkin, V., Moshev, E.: Program complex for life cycle support of pipeline systems of petrochemical companies. Applied Informatics—J. Appl. Inf. 11(4, 64), 57–75 (2016) (in Russian)Google Scholar
- 21.Zakharova, A., Savitskaya, T.: Computational Functions Development for Research of Mathematical Models of Chemical-Technological Systems Redundancy: Advances in Chemistry and Chemical Technology, vol XXXII(11, 207). Moscow, RHTU D. I. Mendeleeva Publ., pp. 66–68 (2018) (in Russian)Google Scholar
- 22.Ryabinin, I.: Reliability and Security of Complex Systems, p. 248. Polytehnika, SPb (2000) (in Russian)Google Scholar
- 23.Mozhaev, A., Gromov, V.: Theoretical Foundations of the General Logical-Probabilistic Method of Automated System Modeling, p. 143. VITU, SPb (2000) (in Russian)Google Scholar
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