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Journal of Intelligent Computing
 

An Online Reliable Assessment System
Dani Juricic, Gjorgji Nusev, Bostjan Dolenc, Pavle Boskoski
Jozef Stefan Institute Department of Systems and Control Jamova 39, 1000 Ljubljana Slovenia
Abstract: For an extensive commercial application the reliability of fuel cells has to be improved. For a reliable online assessment, the accurate parameters of the internal conditions have to be checked. Besides, we further suggest the capturing the full information on the estimates i.e. their probability density functions. In this work, we have presented the assorted results of the experiments conducted on a short-stack solid oxide fuel cell system.
Keywords: Solid Oxide Fuel Cell, Bayesian Estimation, Fault Detection, Equivalent Circuit Model An Online Reliable Assessment System
DOI:https://doi.org/10.6025/jic/2020/11/4/133-139
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References:

[1] Boškoski, P., Debenjak, A., Boshkoska, B. M. (2017). Fast Electrochemical Impedance Spectroscopy, Springer, 2017.
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[3] Bode, H. W., et al. (1945). Network analysis and feedback amplifier design, van Nostrand, New York, 1945.
[4] Strunz, W.O., Feihl, S. (2019). The Z-HIT Algorithm, URL http://zahner.de/support/application-notes/-the-zhitalgorithm.html.
[5] Dolenc, B., Nusev, Gj., Suboti, V., Hochenauer, Ch., Gehring, N., Jurii, Ð., Boškoski, P. Time-domain identification of fractional order systems for health assessment of SOFC, IEEE Transactions on Industrial Electronics (submitted).
[6] Brooks, S., Gelman, A., Jones, G. L., Meng (Eds.), X. –L. (2011). Handbook of Markov Chain Monte Carlo, Chapman & Hall/CRC, 2011.


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