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Rayleigh copula for describing impedance data—with application to condition monitoring of proton exchange membrane fuel cells

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  • Boškoski, Pavle
  • Debenjak, Andrej
  • Mileva Boshkoska, Biljana

Abstract

Proton exchange membrane (PEM) fuel cells are considered as one of the power sources of the future. However, there are still challenges facing hydrogen technologies, such as costs, efficiency and reliability. Accurate and timely quantification of the fuel cell’s performance indices has two main benefits: (i) it enables conducting appropriate mitigation control actions, and (ii) time evolution of the indices can be exploited for prognostics. This in turn contributes to the overall safety, prolonged durability, and increased reliability of fuel cell systems.

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  • Boškoski, Pavle & Debenjak, Andrej & Mileva Boshkoska, Biljana, 2018. "Rayleigh copula for describing impedance data—with application to condition monitoring of proton exchange membrane fuel cells," European Journal of Operational Research, Elsevier, vol. 266(1), pages 269-277.
    • Handle: RePEc:eee:ejores:v:266:y:2018:i:1:p:269-277
    DOI: 10.1016/j.ejor.2017.08.058
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    References listed on IDEAS

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    1. Wu, Shaomin, 2014. "Construction of asymmetric copulas and its application in two-dimensional reliability modelling," European Journal of Operational Research, Elsevier, vol. 238(2), pages 476-485.
    2. Mengbo Ji & Zidong Wei, 2009. "A Review of Water Management in Polymer Electrolyte Membrane Fuel Cells," Energies, MDPI, vol. 2(4), pages 1-50, November.
    3. Jochem, Patrick & Schönfelder, Martin & Fichtner, Wolf, 2015. "An efficient two-stage algorithm for decentralized scheduling of micro-CHP units," European Journal of Operational Research, Elsevier, vol. 245(3), pages 862-874.
    4. Hu, Mengqi & Weir, Jeffery D. & Wu, Teresa, 2012. "Decentralized operation strategies for an integrated building energy system using a memetic algorithm," European Journal of Operational Research, Elsevier, vol. 217(1), pages 185-197.
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