IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v228y2014i4p347-361.html
   My bibliography  Save this article

Modeling and analysis of failure propagation of mechanical system with multi-operation states using high-level Petri net

Author

Listed:
  • Jianing Wu
  • Shaoze Yan
  • RX Gao

Abstract

Modeling and analyzing the behavior of mechanical systems is a promising solution to achieve higher stability, reliability, availability and operability. The accurate description of the complex working principle in the mechanical system, especially the stepwise operation, is one of the crucial issues in developing a model for monitoring the state of mechanical system. This article introduces a practical method for system behavior modeling and failure analysis of the mechanism with principles of multi-operation, using high-level Petri net as the modeling language. The importance of faults and failure propagation mechanism is investigated by the state vector and the mutation vector. Case study of the proposed method contributes to validating the effectiveness of the method and provides clues for identifying weak links and evaluating reliability of the solar array system.

Suggested Citation

  • Jianing Wu & Shaoze Yan & RX Gao, 2014. "Modeling and analysis of failure propagation of mechanical system with multi-operation states using high-level Petri net," Journal of Risk and Reliability, , vol. 228(4), pages 347-361, August.
    • Handle: RePEc:sae:risrel:v:228:y:2014:i:4:p:347-361
    DOI: 10.1177/1748006X13519621
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X13519621
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X13519621?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
    ---><---

    References listed on IDEAS

    as
    1. Horton, Graham & Kulkarni, Vidyadhar G. & Nicol, David M. & Trivedi, Kishor S., 1998. "Fluid stochastic Petri nets: Theory, applications, and solution techniques," European Journal of Operational Research, Elsevier, vol. 105(1), pages 184-201, February.
    2. Simeu-Abazi, Zineb & Lefebvre, Arnaud & Derain, Jean-Pierre, 2011. "A methodology of alarm filtering using dynamic fault tree," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 257-266.
    Full references (including those not matched with items on IDEAS)

    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. Yan-Feng Li & Jinhua Mi & Yu Liu & Yuan-Jian Yang & Hong-Zhong Huang, 2015. "Dynamic fault tree analysis based on continuous-time Bayesian networks under fuzzy numbers," Journal of Risk and Reliability, , vol. 229(6), pages 530-541, December.
    2. Anton Stefanek & Richard A. Hayden & Jeremy T. Bradley, 2016. "Mean-field analysis of hybrid Markov population models with time-inhomogeneous rates," Annals of Operations Research, Springer, vol. 239(2), pages 667-693, April.
    3. Simeu-Abazi, Zineb & Ahmad, Alali Alhouaij, 2011. "Optimisation of distributed maintenance: Modelling and application to the multi-factory production," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1564-1575.
    4. Xu, Jintao & Gui, Maolei & Ding, Rui & Dai, Tao & Zheng, Mengyan & Men, Xinhong & Meng, Fanpeng & Yu, Tao & Sui, Yang, 2023. "A new approach for dynamic reliability analysis of reactor protection system for HPR1000," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    5. Jianing Wu & Shaoze Yan, 2014. "An approach to system reliability prediction for mechanical equipment using fuzzy reasoning Petri net," Journal of Risk and Reliability, , vol. 228(1), pages 39-51, February.
    6. Gascard, Eric & Simeu-Abazi, Zineb, 2018. "Quantitative Analysis of Dynamic Fault Trees by means of Monte Carlo Simulations: Event-Driven Simulation Approach," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 487-504.
    7. Yılmaz, Emre & German, Brian J. & Pritchett, Amy R., 2023. "Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    8. Samuelson, Aviva & Haigh, Andrew & O'Reilly, Małgorzata M. & Bean, Nigel G., 2017. "Stochastic model for maintenance in continuously deteriorating systems," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1169-1179.
    9. Macchi, Marco & Kristjanpoller, Fredy & Garetti, Marco & Arata, Adolfo & Fumagalli, Luca, 2012. "Introducing buffer inventories in the RBD analysis of process production systems," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 84-95.
    10. Daoud Aït-Kadi & Zineb Simeu-Abazi & Ahmed Arous, 2018. "Fault isolation by test scheduling for embedded systems using a probabilistic approach," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 641-649, March.
    11. Chemweno, Peter & Pintelon, Liliane & Muchiri, Peter Nganga & Van Horenbeek, Adriaan, 2018. "Risk assessment methodologies in maintenance decision making: A review of dependability modelling approaches," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 64-77.
    12. M. Gribaudo & D. Manini & B. Sericola & M. Telek, 2008. "Second order fluid models with general boundary behaviour," Annals of Operations Research, Springer, vol. 160(1), pages 69-82, April.

    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:sae:risrel:v:228:y:2014:i:4:p:347-361. 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: SAGE Publications (email available below). General contact details of provider: .

    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.