Polymer electrolyte membrane fuel cell fault diagnosis and sensor abnormality identification using sensor selection method

作者: Lei Mao , Lisa Jackson , Weiguo Huang , Zhinong Li , Ben Davies

DOI: 10.1016/J.JPOWSOUR.2019.227394

关键词:

摘要: … In this study, a sensor selection technique is proposed to … polymer electrolyte membrane (PEM) fuel cell stack faults and … sensor selection technique will be applied to a PEM fuel cell …

参考文章(37)
G. Correa, F. Borello, M. Santarelli, Sensitivity analysis of stack power uncertainty in a PEMFC-based powertrain for aircraft application International Journal of Hydrogen Energy. ,vol. 40, pp. 10354- 10365 ,(2015) , 10.1016/J.IJHYDENE.2015.05.133
Joo Gon Kim, Santanu Mukherjee, Alex Bates, Benjamin Zickel, Sam Park, Byung Rak Son, Jae Sung Choi, Osung Kwon, Dong Ha Lee, Hyun-Youl Chung, Autocorrelation standard deviation and root mean square frequency analysis of polymer electrolyte membrane fuel cell to monitor for hydrogen and air undersupply Journal of Power Sources. ,vol. 300, pp. 164- 174 ,(2015) , 10.1016/J.JPOWSOUR.2015.09.062
Nand Kishor, Soumya R. Mohanty, Fuzzy modeling of fuel cell based on mutual information between variables International Journal of Hydrogen Energy. ,vol. 35, pp. 3620- 3631 ,(2010) , 10.1016/J.IJHYDENE.2010.01.049
Z. Zheng, R. Petrone, M.C. Péra, D. Hissel, M. Becherif, C. Pianese, N. Yousfi Steiner, M. Sorrentino, A review on non-model based diagnosis methodologies for PEM fuel cell stacks and systems International Journal of Hydrogen Energy. ,vol. 38, pp. 8914- 8926 ,(2013) , 10.1016/J.IJHYDENE.2013.04.007
Steffen Becker, Vishy Karri, Predictive models for PEM-electrolyzer performance using adaptive neuro-fuzzy inference systems International Journal of Hydrogen Energy. ,vol. 35, pp. 9963- 9972 ,(2010) , 10.1016/J.IJHYDENE.2009.11.060
R.E. Silva, R. Gouriveau, S. Jemeï, D. Hissel, L. Boulon, K. Agbossou, N. Yousfi Steiner, Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference Systems . International Journal of Hydrogen Energy. ,vol. 39, pp. 11128- 11144 ,(2014) , 10.1016/J.IJHYDENE.2014.05.005
A. Ingimundarson, A.G. Stefanopoulou, D.A. McKay, Model-Based Detection of Hydrogen Leaks in a Fuel Cell Stack IEEE Transactions on Control Systems and Technology. ,vol. 16, pp. 1004- 1012 ,(2008) , 10.1109/TCST.2007.916311
MMd Kamal, D Yu, Model-based fault detection for proton exchange membrane fuel cell systems International journal of engineering science and technology. ,vol. 3, pp. 1- 15 ,(2012) , 10.4314/IJEST.V3I9.1
Daniel Hissel, Yongdong Li, Zhongliang Li, Rachid Outbib, Stefan Giurgea, Fault detection and isolation for Polymer Electrolyte Membrane Fuel Cell systems by analyzing cell voltage generated space Applied Energy. ,vol. 148, pp. 260- 272 ,(2015) , 10.1016/J.APENERGY.2015.03.076
R. Petrone, Z. Zheng, D. Hissel, M.C. Péra, C. Pianese, M. Sorrentino, M. Becherif, N. Yousfi-Steiner, A review on model-based diagnosis methodologies for PEMFCs International Journal of Hydrogen Energy. ,vol. 38, pp. 7077- 7091 ,(2013) , 10.1016/J.IJHYDENE.2013.03.106