Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
article

MatCarloRe: An integrated FT and Monte Carlo Simulink tool for the reliability assessment of dynamic fault tree

Published: 01 September 2012 Publication History

Abstract

With the aim of a more effective representation of reliability assessment for real industry, in the last years concepts like dynamic fault trees (DFT) have gained the interest of many researchers and engineers (dealing with problems concerning safety management, design and development of new products, decision analysis and project management, maintenance of industrial plant, etc.). With the increased computational power of modern calculators is possible to achieve results with low modeling efforts and calculating time. Supported by the strong mathematical basis of state space models, the DFT technique has increased its popularity. Nevertheless, DFT analysis of real application has been more likely based on a specific case to case resolution procedure that often requires a great effort in terms of modeling by the human operator. Moreover, limitations like the state space explosion for increasing number of components, the constrain of using exponential distribution for all kind of basic events constituting any analyzed system and the ineffectiveness of modularization for DFT which exhibit dynamic gates at top levels without incurring in calculation and methodological errors are faces of these methodologies. In this paper we present a high level modeling framework that exceeds all these limitations, based on Monte Carlo simulation. It makes use of traditional DFT systemic modeling procedure and by replicating the true casual nature of the system can produce relevant results with low effort in term of modeling and computational time. A Simulink library that integrates Monte Carlo and FT methodologies for the calculation of DFT reliability has been developed, revealing new insights about the meaning of spare gates.

References

[1]
A new approach to solve dynamic fault trees. Annual Reliability and maintainability symposium. 374-379.
[2]
Hierarchical analysis of fault trees with dependencies, using decomposition. Proceedings Annual on Reliability and Maintainability Symposium. 69-75.
[3]
Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. Reliability Engineering and System Safety. v71. 249-260.
[4]
Boudali, H., Crouzen, P., & Stoelinga, M. (2007). Dynamic fault tree analysis using input/output interactive Markov chains. In Proceedings 37th annual IEEE/IFIP international conference on dependable systems and networks DSN '07, June 25-28 (pp. 708-717).
[5]
A dynamic fault tree. Reliability Engineering and System Safety. v75. 83-91.
[6]
Modularization of fault trees: A method to reduce the cost of analysis. SIAM Reliability and Fault Tree Analysis. 101-137.
[7]
Chiacchio, F., Compagno, L., D'Urso, D., Manno, G., & Trapani, N. (2011). Dynamic fault tree resolution: A conscious trade-off between analytical and simulative approaches. Reliability Engineering and System Safety.
[8]
Distefano, S., & Puliafito, A. (2007). Dynamic reliability block diagrams vs dynamic fault trees. In Proceedings annual reliability and maintainability symposium RAMS'07, January 22-25 (pp. 71-76).
[9]
Monte Carlo calculations for nuclear reactors. CRC handbook of nuclear reactors calculations, 1986.CRC Press.
[10]
Dubi, A. (1989). Monte Carlo methods in reliability. Operation Research and System Engineering Commission of the European Communities Joint Research Centre, Ispra Italy.
[11]
Dynamic fault-tree models for fault-tolerant computer systems. IEEE Transactions on Reliability. v41. 363-377.
[12]
Dugan, J.B., Venkataraman, B., & Gulati, R. (1997). Diftree: A software package for the analysis of dynamic fault tree models. In Proceedings annual reliability and maintainability symposium, January 13-16 (pp. 64-70).
[13]
Developing a low cost high-quality software tool for dynamic fault-tree analysis. IEEE Transaction on Reliability. v49. 49-59.
[14]
The hybrid automated reliability predictor. Journal of Guidance, Control, and Dynamics. v9. 319-331.
[15]
Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliability Engineering and System Safety. v94. 872-883.
[16]
A method to calculate steady-state distributions of large Markov chains by aggregating states. Operations Research. v35. 282-290.
[17]
Monte Carlo methods in reliability engineering. Quality and Reliability Engineering International. v3. 83-91.
[18]
An improved decomposition scheme for assessing the reliability of embedded systems by using dynamic fault trees. Reliability Engineering System Safety. v92. 1403-1412.
[19]
Finding modules in fault trees. IEEE Transactions on Reliability. v38. 165-176.
[20]
Hierarchical composition and aggregation of state-based availability and performability models. IEEE Transactions on Reliability. v52. 44-52.
[21]
Monte Carlo simulation of Markov unreliability models. Nuclear Engineering and Design. v77. 49-62.
[22]
Malhotra, M., & Trivedi, K. S. (1993). A methodology for formal specification of hierarchy in model solution. In Proceedings fifth international workshop petri nets and performance models (PNPM-1993) (pp. 258-267).
[23]
Monte Carlo-based assessment of system availability. A case study for cogeneration plants. Reliability Engineering and System Safety. v88. 273-289.
[24]
A concept paper on dynamic reliability via Monte Carlo simulation. Mathematics and Computers in simulation. v47. 371-382.
[25]
Monte Carlo estimation of the differential importance measure: application to the protection system of a nuclear reactor. Reliability Engineering and System Safety. v86. 11-24.
[26]
Dependability analysis of systems with on-demand and active failure modes, using dynamic fault trees. IEEE Transactions on Reliability. v51. 240-251.
[27]
RADYBAN: A tool for reliability analysis of dynamic fault trees through conversion into dynamic bayesian networks. Reliability Engineering and System Safety. v93. 922-932.
[28]
Design of reliable systems using static and dynamic fault trees. IEEE Transactions on Reliability. v47. 234-244.
[29]
Roberts, N. H., Vesely, W. E., Haasl, D. F., & Goldberg, F. F. (1981). Fault tree handbook, NUREG-0492. Washington: US NRC.
[30]
Decomposition methods for fault tree analysis. IEEE Transactions of Reliability. vR-29. 136-138.
[31]
Risk assessment for dynamic systems: An overview. Reliability Engineering and System Safety. v43. 43-73.
[32]
Sullivan, K. J., Dugan, J. B., & Coppit, D. (1999). The Galileo fault tree analysis tool. In Proceedings of the twenty-ninth annual international symposium on fault-tolerant computing, June 15-18 (pp. 232-235).
[33]
Modeling of system reliability petri nets with aging tokens. Reliability Engineering and System Safety. v84. 149-161.
[34]
A Monte Carlo simulation method versus a general analytical method for determining reliability measures of repairable systems. Reliability Engineering. v5. 73-81.
[35]
Monte Calo studies of engineering system reliability. Annual Nuclear Engineering. v19. 825-859.
[36]
Biasing the transition probabilities in direct Monte Carlo. Reliability Engineering and System Safety. v47. 59-63.
[37]
A Monte Carlo simulation approach to the availability assessment of multi-state systems with operational dependencies. Reliability Engineering and System Safety. v92. 871-882.
[38]
Estimation of the importance measures of multi-state elements by Monte Carlo simulation. Reliability Engineering and System Safety. v86. 191-204.

Cited By

View all
  • (2023)Shielded Learning for Resilience and Performance Based on Statistical Model Checking in SimulinkBridging the Gap Between AI and Reality10.1007/978-3-031-46002-9_6(94-118)Online publication date: 23-Oct-2023
  • (2018)Quantitative based fault tree analysisJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-17149135:1(845-859)Online publication date: 1-Jan-2018
  • (2017)Reliability modeling and analysis of communication networksJournal of Network and Computer Applications10.1016/j.jnca.2016.11.00878:C(191-215)Online publication date: 15-Jan-2017
  • Show More Cited By
  1. MatCarloRe: An integrated FT and Monte Carlo Simulink tool for the reliability assessment of dynamic fault tree

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Expert Systems with Applications: An International Journal
    Expert Systems with Applications: An International Journal  Volume 39, Issue 12
    September, 2012
    1017 pages

    Publisher

    Pergamon Press, Inc.

    United States

    Publication History

    Published: 01 September 2012

    Author Tags

    1. Continuous Time Markov Chain
    2. Dynamic fault tree
    3. Monte Carlo simulation
    4. Reliability assessment

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 08 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)Shielded Learning for Resilience and Performance Based on Statistical Model Checking in SimulinkBridging the Gap Between AI and Reality10.1007/978-3-031-46002-9_6(94-118)Online publication date: 23-Oct-2023
    • (2018)Quantitative based fault tree analysisJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-17149135:1(845-859)Online publication date: 1-Jan-2018
    • (2017)Reliability modeling and analysis of communication networksJournal of Network and Computer Applications10.1016/j.jnca.2016.11.00878:C(191-215)Online publication date: 15-Jan-2017
    • (2017)An overview of fault tree analysis and its application in model based dependability analysisExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.01.05877:C(114-135)Online publication date: 1-Jul-2017
    • (2016)SHyFTA, a Stochastic Hybrid Fault Tree Automaton for the modelling and simulation of dynamic reliability problemsExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.10.04647:C(42-57)Online publication date: 1-Apr-2016
    • (2016)Identifying critical architectural components with spectral analysis of fault treesApplied Soft Computing10.1016/j.asoc.2016.06.04249:C(1270-1282)Online publication date: 1-Dec-2016
    • (2015)An integrated framework for effective safety management evaluationExpert Systems with Applications: An International Journal10.1016/j.eswa.2015.02.05342:13(5541-5553)Online publication date: 1-Aug-2015

    View Options

    View options

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media