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A methodology of alarm filtering using dynamic fault tree

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  • Simeu-Abazi, Zineb
  • Lefebvre, Arnaud
  • Derain, Jean-Pierre

Abstract

This article presents a new approach for filtering the faults, thanks to the defined dynamic fault tree (DFT). The proposed methodology includes the dependencies between fault events in the models. Two problems must thus be solved: they relate to the filtering of false alarms, and the reduction of the size of the ambiguity of fault isolation related to the occurrence of a failure. In response to the expressed need for diagnosis, as well as for the need for filtering and localization of the failures, it is necessary to introduce new dynamic gates, making it possible to translate new dependencies, relationships. Based on previous techniques, the approach presented in this paper is based on four peculiar powerful features. First, the concept of the precedence between events is taken into account in order to resort to an adapted configuration for the fault isolation. Second, another relevant data to establish a diagnosis is to take into account the concepts of redundancies between various sets. The appearance of the same phenomenon on various sets can make it possible to refine the fault isolation. The knowledge of the character of the failures is a third important concept; indeed according to the character of the identified breakdowns, one will be able for example to refine the localization or to filter certain events considered non-representative of the character of the breakdown. Fourth, the time duration of the alarm is a more interesting resource to be exploited. The proposed DFT model can be modularized and each module translated into a High Level Petri Net (HLPN). Translation of DFT modules into HLPN has proved to be very flexible and various kinds of new dependencies can be easily accommodated. In order to exploit this flexibility a new representation, called the event diagram, is introduced.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:reensy:v:96:y:2011:i:2:p:257-266
    DOI: 10.1016/j.ress.2010.09.005
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    References listed on IDEAS

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    1. Sadou, Nabil & Demmou, Hamid, 2009. "Reliability analysis of discrete event dynamic systems with Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 94(11), pages 1848-1861.
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    3. Simeu-Abazi, Zineb & Di Mascolo, Maria & Knotek, Michal, 2010. "Fault diagnosis for discrete event systems: Modelling and verification," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 369-378.
    4. Kim, Jong Hyun & Seong, Poong Hyun, 2007. "The effect of information types on diagnostic strategies in the information aid," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 171-186.
    5. Pedregal, Diego J. & Carmen Carnero, Ma., 2009. "Vibration analysis diagnostics by continuous-time models: A case study," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 244-253.
    6. Vatn, Jørn & Aven, Terje, 2010. "An approach to maintenance optimization where safety issues are important," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 58-63.
    7. Yuge, T. & Yanagi, S., 2008. "Quantitative analysis of a fault tree with priority AND gates," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1577-1583.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).

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