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Reliability of sensors based on nanowire networks

Author

Listed:
  • Nader Ebrahimi
  • Kristin McCullough
  • Zhili Xiao

Abstract

Nanowires have a great potential in many industrial applications, including electronics and sensors. Palladium nanowire network-based hydrogen sensors have been found to outperform their counterparts that consist of an individual nanowire or palladium thin or thick films. However, reliability issues that affect these sensors still need to be addressed. This article considers hydrogen gas sensors based on a nanowire network with a square lattice structure. A general model for describing the reliability behavior of this network is proposed. It is shown that the reliability function can be imposed by considering a network of nanowires rather than a single nanowire. Among many other applications, the presented results can also be used to assess the reliability of any nanosystem/ nanodevice where the proposed model is a reasonable choice. What distinguishes the work presented in this article from related work are the unique difficulties that the nanocomponents introduce to the evaluation of reliability and the way reliability is defined over cycles of hydrogen gas.

Suggested Citation

  • Nader Ebrahimi & Kristin McCullough & Zhili Xiao, 2013. "Reliability of sensors based on nanowire networks," IISE Transactions, Taylor & Francis Journals, vol. 45(2), pages 215-228.
  • Handle: RePEc:taf:uiiexx:v:45:y:2013:i:2:p:215-228
    DOI: 10.1080/0740817X.2012.679350
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    Citations

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    Cited by:

    1. Bistouni, Fathollah & Jahanshahi, Mohsen, 2017. "Remove and contraction: A novel method for calculating the reliability of Ethernet ring mesh networks," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 362-375.
    2. Fathollah Bistouni & Mohsen Jahanshahi, 2016. "Reliability analysis of multilayer multistage interconnection networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(3), pages 529-551, July.
    3. Bistouni, Fathollah & Jahanshahi, Mohsen, 2015. "Evaluating failure rate of fault-tolerant multistage interconnection networks using Weibull life distribution," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 128-146.
    4. Tatiana Dmitrieva & Kristin McCullough & Nader Ebrahimi, 2021. "Improved approximate Bayesian computation methods via empirical likelihood," Computational Statistics, Springer, vol. 36(2), pages 1533-1552, June.
    5. Bistouni, Fathollah & Jahanshahi, Mohsen, 2014. "Analyzing the reliability of shuffle-exchange networks using reliability block diagrams," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 97-106.

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