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Reliability analysis for new technology-based transmitters

Author

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  • Brissaud, Florent
  • Barros, Anne
  • Bérenguer, Christophe
  • Charpentier, Dominique

Abstract

The reliability analysis of new technology-based transmitters has to deal with specific issues: various interactions between both material elements and functions, undefined behaviours under faulty conditions, several transmitted data, and little reliability feedback. To handle these particularities, a “3-step†model is proposed, based on goal tree–success tree (GTST) approaches to represent both the functional and material aspects, and includes the faults and failures as a third part for supporting reliability analyses. The behavioural aspects are provided by relationship matrices, also denoted master logic diagrams (MLD), with stochastic values which represent direct relationships between system elements. Relationship analyses are then proposed to assess the effect of any fault or failure on any material element or function. Taking these relationships into account, the probabilities of malfunction and failure modes are evaluated according to time. Furthermore, uncertainty analyses tend to show that even if the input data and system behaviour are not well known, these previous results can be obtained in a relatively precise way. An illustration is provided by a case study on an infrared gas transmitter. These properties make the proposed model and corresponding reliability analyses especially suitable for intelligent transmitters (or “smart sensors†).

Suggested Citation

  • Brissaud, Florent & Barros, Anne & Bérenguer, Christophe & Charpentier, Dominique, 2011. "Reliability analysis for new technology-based transmitters," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 299-313.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:2:p:299-313
    DOI: 10.1016/j.ress.2010.09.010
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    References listed on IDEAS

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    1. Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
    2. Boiteau, M. & Dutuit, Y. & Rauzy, A. & Signoret, J.-P., 2006. "The AltaRica data-flow language in use: modeling of production availability of a multi-state system," Reliability Engineering and System Safety, Elsevier, vol. 91(7), pages 747-755.
    3. Benard, Vincent & Cauffriez, Laurent & Renaux, Dominique, 2008. "The Safe-SADT method for aiding designers to choose and improve dependable architectures for complex automated systems," Reliability Engineering and System Safety, Elsevier, vol. 93(2), pages 179-196.
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    Citations

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    Cited by:

    1. Alizadeh, Siamak & Sriramula, Srinivas, 2018. "Impact of common cause failure on reliability performance of redundant safety related systems subject to process demand," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 129-150.
    2. Mechri, Walid & Simon, Christophe & BenOthman, Kamel, 2015. "Switching Markov chains for a holistic modeling of SIS unavailability," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 212-222.
    3. Yashasvi Chauhan & N. B. Shrestha & T. V. Santhosh & Vivek Shrivastava & P. K. Ramteke & Gopika Vinod, 2020. "Performance of smart pressure transmitters under radiation ageing environment in NPPs," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 282-288, July.
    4. Yashasvi Chauhan & N. B. Shrestha & T. V. Santhosh & Vivek Shrivastava & P. K. Ramteke & Gopika Vinod, 0. "Performance of smart pressure transmitters under radiation ageing environment in NPPs," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-7.
    5. 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.
    6. Y. Munindra Reddy & Rajendraprasad Narne & T. V. Santhosh & V. Gopika & N. B. Shreshta, 2017. "Reliability prediction of smart pressure transmitter for use in NPPs," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 656-662, November.
    7. Li, Y.F. & Valla, S. & Zio, E., 2015. "Reliability assessment of generic geared wind turbines by GTST-MLD model and Monte Carlo simulation," Renewable Energy, Elsevier, vol. 83(C), pages 222-233.

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