IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v180y2018icp211-225.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832018302163
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2018.07.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    5. 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.
    6. Langseth, Helge & Portinale, Luigi, 2007. "Bayesian networks in reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(1), pages 92-108.
    7. 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.
    8. Locke, John, 1690. "An Essay Concerning Human Understanding," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number locke1690.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ding, Rui & Liu, Zehua & Xu, Jintao & Meng, Fanpeng & Sui, Yang & Men, Xinhong, 2021. "A novel approach for reliability assessment of residual heat removal system for HPR1000 based on failure mode and effect analysis, fault tree analysis, and fuzzy Bayesian network methods," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cai, Baoping & Liu, Yonghong & Liu, Zengkai & Tian, Xiaojie & Dong, Xin & Yu, Shilin, 2012. "Using Bayesian networks in reliability evaluation for subsea blowout preventer control system," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 32-41.
    2. Zheng, Yi-Xuan & Xiahou, Tangfan & Liu, Yu & Xie, Chaoyang, 2021. "Structure function learning of hierarchical multi-state systems with incomplete observation sequences," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Vimal Vijayan & Sanjay K Chaturvedi & Ritesh Chandra, 2020. "A failure interaction model for multicomponent repairable systems," Journal of Risk and Reliability, , vol. 234(3), pages 470-486, June.
    4. Thomas Grebel, 2011. "Innovation and Health," Books, Edward Elgar Publishing, number 14375.
    5. Warren D. TenHouten, 2019. "Alienation and Emotion: Hegel Versus Sentimentalism and Romanticism," Review of European Studies, Canadian Center of Science and Education, vol. 11(3), pages 1-1, December.
    6. Menada Petro, 2023. "Techniques and Strategies of Communication and Cooperation with Colleagues Inside and Outside the School," European Journal of Language and Literature Studies Articles, Revistia Research and Publishing, vol. 9, ejls_v9_i.
    7. Andrews, John & Fecarotti, Claudia, 2017. "System design and maintenance modelling for safety in extended life operation," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 95-108.
    8. Kets, Willemien & Sandroni, Alvaro, 2015. "Challenging Conformity: A Case for Diversity," MPRA Paper 68166, University Library of Munich, Germany.
    9. John P. Lizza, 2007. "9 Persons: Natural, Functional, or Ethical Kind?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 66(1), pages 195-216, January.
    10. F De Carlo & O Borgia & M Tucci, 2011. "Risk-based inspections enhanced with Bayesian networks," Journal of Risk and Reliability, , vol. 225(3), pages 375-386, September.
    11. Willemien Kets & Alvaro Sandroni, 2021. "A Theory of Strategic Uncertainty and Cultural Diversity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 287-333.
    12. Christine Abdalla Mikhaeil & Richard Baskerville, 2019. "Using semiotics to analyze representational complexity in social media," Post-Print hal-02509212, HAL.
    13. Kondakci, Suleyman, 2015. "Analysis of information security reliability: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 275-299.
    14. Marco Aurélio de Oliveira & Antonio Schalata Pacheco & André Hideto Futami & Luiz Veriano Oliveira Dalla Valentina & Carlos Alberto Flesch, 2023. "Self‐organizing maps and Bayesian networks in organizational modelling: A case study in innovation projects management," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 61-87, January.
    15. Khakzad, Nima & Khan, Faisal & Amyotte, Paul, 2013. "Risk-based design of process systems using discrete-time Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 5-17.
    16. John Davis, 1995. "Personal identity and standard economic theory," Journal of Economic Methodology, Taylor & Francis Journals, vol. 2(1), pages 35-52.
    17. Liagouras, George, 2017. "Population thinking vs. essentialism in biology and evolutionary economics," OSF Preprints r4g8x, Center for Open Science.
    18. Dymitrow Mirek, 2019. "The concept of ‘rural’ as a psychosocial process: From concept attainment to concept unlearning," Quaestiones Geographicae, Sciendo, vol. 38(4), pages 15-28, December.
    19. åke E. Andersson, 2011. "Creative People Need Creative Cities," Chapters, in: David Emanuel Andersson & Åke E. Andersson & Charlotta Mellander (ed.), Handbook of Creative Cities, chapter 2, Edward Elgar Publishing.
    20. Baoping Cai & Yonghong Liu & Zengkai Liu & Xiaojie Tian & Yanzhen Zhang & Renjie Ji, 2013. "Application of Bayesian Networks in Quantitative Risk Assessment of Subsea Blowout Preventer Operations," Risk Analysis, John Wiley & Sons, vol. 33(7), pages 1293-1311, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:211-225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.