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Reliability analysis and functional design using Bayesian networks generated automatically by an “Idea Algebra†framework

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  • Amrin, Andas
  • Zarikas, Vasileios
  • Spitas, Christos

Abstract

Currently, the application of intelligent tools and decision methods in reliability, dependability, and maintenance analysis shows an increasing trend due to the complexity of the systems. The Bayesian Network (BN)-based methods are very efficient for this kind of analysis, but the process of constructing the BN is very routine and time-consuming and requires a lot of human effort. One good solution is to construct a proper BN model of a system, with the guidance of a semantic method. Thus, we introduce a novel methodology that automates the BN generation process for reliability analysis directly from the system's description. The method uses an engineering design representation technique to create a BN and allows to evaluate it automatically. The created GeNIe files can be edited and reused for further analysis which increases reusability of engineering design data. For the validation of the developed method, it was applied to an automotive powertrain system. Finally, the Bayesian Networks of 25 different automobiles were evaluated and tested with sensitivity analysis.

Suggested Citation

  • Amrin, Andas & Zarikas, Vasileios & Spitas, Christos, 2018. "Reliability analysis and functional design using Bayesian networks generated automatically by an “Idea Algebra†framework," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 211-225.
    • Handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:211-225
    DOI: 10.1016/j.ress.2018.07.020
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    1. Nadkarni, Sucheta & Shenoy, Prakash P., 2001. "A Bayesian network approach to making inferences in causal maps," European Journal of Operational Research, Elsevier, vol. 128(3), pages 479-498, February.
    2. Montani, S. & Portinale, L. & Bobbio, A. & Codetta-Raiteri, D., 2008. "Radyban: A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 922-932.
    3. Anna Deltsidou & Vasilios Zarikas & Dimos Mastrogiannis & Eleni Kapreli & Dimitrios Bourdas & Elpiniki Papageorgiou & Vasilios Raftopoulos & Maria Noula & Maria Lambadiari & Katerina Lykeridou, 2017. "Reliability analysis of Finometer and AGE-Reader devices in a clinical research trial," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 11(1/2), pages 78-96.
    4. Yontay, Petek & Pan, Rong, 2016. "A computational Bayesian approach to dependency assessment in system reliability," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 104-114.
    5. Locke, John, 1690. "An Essay Concerning Human Understanding," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number locke1690.
    6. Doguc, Ozge & Ramirez-Marquez, Jose Emmanuel, 2009. "A generic method for estimating system reliability using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 542-550.
    7. Locke, John, 1697. "An Answer to Remarks Upon an Essay Concerning Human Understanding etc," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number locke1697.
    8. Albert Albers & Andreas Braun, 2011. "A generalised framework to compass and to support complex product engineering processes," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 15(1/2/3), pages 6-25.
    9. Cai, Baoping & Liu, Yu & Fan, Qian, 2016. "A multiphase dynamic Bayesian networks methodology for the determination of safety integrity levels," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 105-115.
    10. Mkrtchyan, L. & Podofillini, L. & Dang, V.N., 2015. "Bayesian belief networks for human reliability analysis: A review of applications and gaps," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 1-16.
    11. Langseth, Helge & Portinale, Luigi, 2007. "Bayesian networks in reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(1), pages 92-108.
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    2. Shi, Yong & Zhang, Linzi, 2023. "Modelling long- and short-term multi-dimensional patterns in predictive maintenance with accumulative attention," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    3. Yerzhigit Bapin & Kanat Alimanov & Vasilios Zarikas, 2020. "Camera-Driven Probabilistic Algorithm for Multi-Elevator Systems," Energies, MDPI, vol. 13(23), pages 1-16, November.
    4. Ji, Chenyi & Su, Xing & Qin, Zhongfu & Nawaz, Ahsan, 2022. "Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    5. Chi, Lixun & Su, Huai & Zio, Enrico & Qadrdan, Meysam & Zhou, Jing & Zhang, Li & Fan, Lin & Yang, Zhaoming & Xie, Fei & Zuo, Lili & Zhang, Jinjun, 2023. "A systematic framework for the assessment of the reliability of energy supply in Integrated Energy Systems based on a quasi-steady-state model," Energy, Elsevier, vol. 263(PB).

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