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Reliability modeling of networked control systems using dynamic flowgraph methodology

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  • Al-Dabbagh, Ahmad W.
  • Lu, Lixuan

Abstract

The recent trend in deploying communication networks in digital control systems to form Networked Control Systems (NCSs) brings the need for utilizing dynamic methods to assess the reliability of these systems. The methods should be able to capture the behaviour and interaction of the hardware, the software and the communication network in the NCSs. They should also be able to incorporate time dependency and multi-state behaviour. In this paper, it is demonstrated how the Dynamic Flowgraph Methodology (DFM) can be a promising method to fulfill these requirements. The behaviour and the effect of the communication network on NCS performance is emphasized. The information provided by analysis of the implemented model facilitates the improvement of the control system performance.

Suggested Citation

  • Al-Dabbagh, Ahmad W. & Lu, Lixuan, 2010. "Reliability modeling of networked control systems using dynamic flowgraph methodology," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1202-1209.
  • Handle: RePEc:eee:reensy:v:95:y:2010:i:11:p:1202-1209
    DOI: 10.1016/j.ress.2010.05.005
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    Cited by:

    1. George-Williams, Hindolo & Patelli, Edoardo, 2016. "A hybrid load flow and event driven simulation approach to multi-state system reliability evaluation," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 351-367.
    2. Thieme, Christoph A. & Mosleh, Ali & Utne, Ingrid B. & Hegde, Jeevith, 2020. "Incorporating software failure in risk analysis – Part 1: Software functional failure mode classification," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    3. McNelles, Phillip & Zeng, Zhao Chang & Renganathan, Guna & Lamarre, Greg & Akl, Yolande & Lu, Lixuan, 2016. "A comparison of Fault Trees and the Dynamic Flowgraph Methodology for the analysis of FPGA-based safety systems Part 1: Reactor trip logic loop reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 135-150.
    4. Tyrväinen, Tero, 2016. "Prime implicants in dynamic reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 146(C), pages 39-46.
    5. Tyrväinen, T., 2013. "Risk importance measures in the dynamic flowgraph methodology," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 35-50.
    6. Brissaud, Florent & Smidts, Carol & Barros, Anne & Bérenguer, Christophe, 2011. "Dynamic reliability of digital-based transmitters," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 793-813.

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