참고문헌
- Paris Agreement - Status of Ratification, http://unfccc.int/paris_agreement/items/9444.php.
- J. Lamrminie and A. Dicks, "Fuel Cell System Explained", John Wiley, USA, 2003.
- F. Barbir, "PEM fuel cells: theory and practice. Academic Press Series series editor", Elsevier Academic Press, Netherlands, 2005.
- DOE, "The Department of Energy Fuel Cell Technology Office, Multi-Year Research, Development, and Demonstration Plan", 2016.
- NEDO, "Road map of hydrogen and fuel cell 2010", http://www.nedo.go.jp/library/battery_hydrogen.html.
- W. Y. Lee, "Computer-aided practical application of faults detection and diagnosis techniques in energy systems", Korea Institute of Energy Research Report, 1999, KIER-996816.
- R. Isermann, "Process fault detection based on modeling and estimation methods-A survey", Automatica, Vol. 20, No. 4, 1984, pp. 387-404. https://doi.org/10.1016/0005-1098(84)90098-0
- P. M. Frank, "Fault Diagnosis in Dynamic System Using Analytical and Knowledge-based Redundancy - A Survey and Some New Results", Automatica, Vol. 20, No. 3, 1990, pp. 459-474.
- Q. Yang, A. Aitouche, and B.O. Bouamama, "Structural analysis for air supply system of fuel cell", Int. Renew Energy Congr., 2009, pp. 5-7.
- A. Benmouna, M. Becherif, D. Depernet, F. Gustin, H. S. Ramadan, and S. Fukuhara, "Fault diagnosis methods for Proton Exchange Membrane Fuel Cell system", Int. J. Hydrogen Energy, Vol. 42, 2017, pp. 1534-1543. https://doi.org/10.1016/j.ijhydene.2016.07.181
- Q. Yang, A. Aitouche, and B. O. BouamamaO, "Structural Analysis for Fault Detection and Isolation in Fuel Cell Stack System, Sustainability in Energy and Buildings", Sustainability in Energy and Buildings, 2009, pp. 239-254.
- L. Placca and Kouta R, "Fault tree analysis for PEM fuel cell degradation process modelling", Int. J. Hydrogen Energy, Vol. 36, No. 12, 2011, pp. 393-405.
- M. Whiteley, S. Dummet, and L. Jackson, "Failure Mode and Effect Analysis, and Fault Tree Analysis of Polymer Electrolyte Membrane Fuel Cells", Int. J. Hydrogen Energy, Vol. 41, 2016, pp. 1187-1202. https://doi.org/10.1016/j.ijhydene.2015.11.007
- H. Li, Y. Tang, Z. Wang, Z. Shi, Z. Wu, D. Song, J. Zhang, K. Fatih, J. Zhang, H. Wang, Z. Liu, and R. Abouatallah, "A review of water flooding issues in the proton exchange membrane fuel cell", J. Power Sources, Vol. 178, No. 1, 2008, pp. 103-117. https://doi.org/10.1016/j.jpowsour.2007.12.068
- K. Brik, F. Ben Ammar, A. Djerdir, and A. Miraoui, "Causal and fault trees analysis of proton exchange membrane fuel cell degradation", J. Fuel Cell Sci. Technol., Vol. 12, 2015, pp. 051002. https://doi.org/10.1115/1.4031584
- S. Collong and R. Kouta, "Fault tree analysis of proton exchange membrane fuel cell system safety", Int. J. Hydrogen Energy, Vol. 41, 2015, pp. 8248-8260.
- R. Isermann, "Model-based fault-detection and diagnosis - status and applications", Annu. Rev. Control, Vol. 29, 2005, pp. 71-85. https://doi.org/10.1016/j.arcontrol.2004.12.002
- R. Isermann, "Supervision, fault-detection and fault-diagnosis methods - An introduction", Control Eng. Pract., Vol. 5, No. 3, 1997, pp. 639-652. https://doi.org/10.1016/S0967-0661(97)00046-4
- V. Venkatasubramanian, R. Rengaswamy, S. N. Kavuri, and K. Yin, "A review of process fault detection and diagnosis part I: quantitative model based methods", Comput Chem. Eng, Vol. 27, 2003, pp. 293-311. https://doi.org/10.1016/S0098-1354(02)00160-6
- R. Petrone, Z. Zheng, D. Hissel, M. C. Pera, C. Pianese, M. Sorrentino, M. Becherif, and N. Yousfi-Steiner, "A review on model-based diagnosis methodologies for PEMFCs", Int. J. Hydrogen Energy, Vol. 38, 2013, pp. 7077-7091. https://doi.org/10.1016/j.ijhydene.2013.03.106
- S. C. Marco and M. D. Mueller, "A Fault Diagnosis Toolbox Applying Classification and Inference Methods", IFAC Proceedings, Vol. 42, No. 8, 2009, pp. 486-491.
- C. Nan, F. Khan, and M. T. Iqbal, "Real-time fault diagnosis using knowledge-based expert system", Process Saf. Environ. Prot., Vol. 86, 2008, pp. 55-71. https://doi.org/10.1016/j.psep.2007.10.014
- Z. Li, R. Outbib, D. Hissel, and S. Giurgea, "Data-Driven diagnosis of PEM fuel cell: A comparative study", Control Eng. Pract., Vol. 28, 2014, pp. 1-12. https://doi.org/10.1016/j.conengprac.2014.02.019
- J. M. House, W. Y. Lee, and D. R. Shin, "Classification techniques for Fault Detection and Diagnosis of an Ai-Handling Unit", ASHRAE Trans. CH-99-18-5, 1999, pp. 1087-1097.
- Z. Li, R. Outbib, S. Giurgea, D. Hissel, S. Jemei, A. Giraud, and S. Rosini, "Online implementation of SVM based fault diagnosis strategy for PEMFC systems", Applied Energy, Vol. 164, 2016, pp. 284-293. https://doi.org/10.1016/j.apenergy.2015.11.060
- T. Escobet, A. Nebet, and F. Mugica, "PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques", Eng. Appl. Artif. Intell., Vol. 36, 2014, pp. 40-53. https://doi.org/10.1016/j.engappai.2014.07.008
- M. Shao, X. J. Zhu, H. F. Cao, and H. F. Shen, "An artificial neural network ensemble method for fault diagnosis of proton exchange membrane fuel cell system", Energy, Vol. 67, 2014, pp. 268-275. https://doi.org/10.1016/j.energy.2014.01.079
- Z. Zheng, M. C. Pera, D. Hissel, M. Becherif, K. S. Agbli and Y. Li, "A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks", J. Power Sources, Vol. 271, 2014, pp. 570-581. https://doi.org/10.1016/j.jpowsour.2014.07.157
- T. J. Rato and M. S. Reis, "On-line process monitoring using local measures of association: Part I - Detection performance", Chemometr. Intell. Lab., Vol. 142, No. 15, 2015, pp. 255-264. https://doi.org/10.1016/j.chemolab.2015.02.011
- T. J. Rato and M. S. Reis, "On-line process monitoring using local measures of association: Part II - Design Issues and Fault diagnosis", Chemometr. Intell. Lab., Vol. 142, No. 15, 2015, pp. 255-264. https://doi.org/10.1016/j.chemolab.2015.02.011
- K. C. Roes, R. J. Does, and Y. Schurink, "Shewhart-type control charts for individual observations", Journal of Quality Technology, Vol. 25, No. 3, 1993, pp. 188-198. https://doi.org/10.1080/00224065.1993.11979453
- R. P. Leger, W. J. Garland, and W. S. Poehlman, "Fault detection and diagnosis using statistical control charts and artificial neural networks", Artificial Intelligence in Engineering, Vol. 12, No. 1, 1998, pp. 35-47. https://doi.org/10.1016/S0954-1810(96)00039-8
- A. Khorasani, S. Asghari, A. Mokmeli, M. H. Shahsamand, and B. F. Imani, "A diagnosis method for identification of the defected cell(s) in the PEM fuel cells", Int. J. Hydrogen Energy, Vol. 35, 2010, pp. 9269-9275. https://doi.org/10.1016/j.ijhydene.2010.04.157
- G. Tian, S. Wasterlain, I. Endichi, D. Candusso, F. Harel, X. Francois, M. C. Pera, D. Hissel, and J. M. Kauffmann, "Diagnosis methods dedicated to the localization of failed cells within PEMFC stacks", J. Power Sources, Vol. 182, 2008, pp. 449-461. https://doi.org/10.1016/j.jpowsour.2007.12.038
- M. Ibrahim, U. Antoni, N. Y. Steiner, S. Jemei, C. Kokonendji, B. Ludwig B, P. Mocoteguy, and D. Hissel, "Signal-based diagnostics by wavelet Transform for proton exchange membrane fuel cell", Energy Proced., Vol. 74, 2015, pp. 1508-1516. https://doi.org/10.1016/j.egypro.2015.07.708
- E. Pahon, N. Yousfi Steiner, S. Jemei, D. Hissel, P. Mocoteguyc, "A signal-based method for fast PEMFC diagnosis", Appl. Energy, Vol. 165, No. 7, 2016, pp. 748-758. https://doi.org/10.1016/j.apenergy.2015.12.084
- N. R. Farnum, "Control charts for short runs: nonconstant process and measurement error", Journal of Quality Technology, Vol. 24, No. 3, 1992, pp. 138-144. https://doi.org/10.1080/00224065.1992.11979384
- D. C. Montgomery, J. B. Keats, G. C. Runger, and W. S. Messina, "Integrating statistical process control and engineering process control", Journal of Quality Technology, Vol. 26, No. 2, 1994, pp. 79-87. https://doi.org/10.1080/00224065.1994.11979508
- K. C. Roes, R. J. Does, and Y. Schurink, "Shewhart-type control charts for individual observations", Journal of Quality Technology, Vol. 25, No. 3, 1993, pp. 188-198. https://doi.org/10.1080/00224065.1993.11979453
- C. Damour, M. Benne, B. Grondin-Perez, and M. Bessafi, "Polymer electrolyte membrane fuel cell fault diagnosis based on empirical mode decomposition", J Power Sources, Vol. 299, 2015, pp. 596-603. https://doi.org/10.1016/j.jpowsour.2015.09.041
- B. Legros, P. X. Thivel, Y. Bultel, M. Boinet, and R. P. Nogueira, "Electrochemical Impedance and Acoustic Emission Survey of water desorption in nafion membranes", Electrochem Solid-State Lett, Vol. 12, 2009, pp. B116. https://doi.org/10.1149/1.3131728
- Z. Zheng, R. Petrone, M. C. Pera, D. Hissel, M. Becherif, C. Pianese C, N. Yousfi Steiner, and M. Sorrentino, "A review on non-model based diagnosis methodologies for PEM fuel cell stacks and systems", Int. J. Hydrogen Energy, Vol. 38, 2013, pp. 8914-8926. https://doi.org/10.1016/j.ijhydene.2013.04.007
- K. Teranishi, S. Tsushima, and S. Hirai S. "Analysis of water transport in PEFCs by magnetic resonance imaging measurement", J. Electrochem. Soc., Vol. 153, 2006, pp. A664-A668. https://doi.org/10.1149/1.2167954
- J. Wu, X. Z. Yuan, H. Wang, M. Blanco, J. J. Martin, and J. Zhang, "Diagnostic tools in PEM fuel cell research: Part I Electrochemical techniques", Int. J. Hydrogen Energy, Vol. 33, 2008, pp. 1735-1746. https://doi.org/10.1016/j.ijhydene.2008.01.013
- X. Yuan, H. Wang, J. C. Sun, and J. Zhang, "AC impedance technique in PEM fuel cell diagnosis-A review", Int. J. Hydrogen Energy, Vol. 32, 2007, pp. 4365-4380. https://doi.org/10.1016/j.ijhydene.2007.05.036
- G. Mousa, F. Golnaraghi, J. Devaal, and A. Young, "Detecting proton exchange membrane fuel cell hydrogen leak using electrochemical impedance spectroscopy method", J. Power Sources, Vol. 246, 2014, pp. 110-116. https://doi.org/10.1016/j.jpowsour.2013.07.018
- S. Fukuhara, N. Marx, K. Ettihir, L. Boulon, Y. Ait-Amirat, and M. Becherif, "A lumped fluidic model of an anode chamber for fault tolerant strategy design", Int. J. Hydrogen Energy, Vol. 41, No. 50, 2016, pp. 37-47.
- T. Escobet, D. Feroldi, S. de Lira, V. Puig, J. Quevedo, J. Riera, and M. Serra, "Model-based fault diagnosis in PEM fuel cell systems", J. Power Sources, Vol. 192, 2009, pp. 216-223. https://doi.org/10.1016/j.jpowsour.2008.12.014
- G. Tina, S. Wasterlain, D. Candusso, F. Harel, D. Hissel, and X. Francois, "Identification of failed cells inside PEMFC stacks in two cases: Anode/cathode crossover and anode/cooling compartment leak", Int. J. Hydrogen Energy, Vol. 35, 2010, pp. 2772-2776. https://doi.org/10.1016/j.ijhydene.2009.05.015
- S. Lira, V. Puig, J. Quevedo, and A. Husar, "LPV observer design for PEM fuel cell system: Application to fault detection", Int. J. Power Source, Vol. 196, 2011, pp. 4298-4305. https://doi.org/10.1016/j.jpowsour.2010.11.084
- W. Y. Lee, G. G. Park, T. H. Yang, Y. G. Yoon, and C. S. Kim, "Empirical modeling of polymer electrolyte membrane fuel cell performance using artificial neural networks", Int. J. Hydrogen Energy, Vol. 29, 2004, pp. 961-966.
- A. Saengrung, A. Abtahi, and A. Zilouchian, "Neural network model for a commercial PEM fuel cell system", J. Power Sources, Vol. 172, 2007, pp. 749-759. https://doi.org/10.1016/j.jpowsour.2007.05.039
- K. M. Kamal, D. Yu, and D. L. Yu, "Fault detection and isolation for PEM fuel cell l Stack with independent RFB model", Eng. Appl. Artif. Intell., Vol. 28, 2014, pp. 52-63. https://doi.org/10.1016/j.engappai.2013.10.002
- N. Y. Steiner, D. Hissel, P. H. Mocoteguy, and D. Candusso, "Diagnosis of polymer electrolyte fuel cells failure modes (flooding & drying out) by neural networks modeling", Int. J. Hydrogen Energy, Vol. 36, 2011, pp. 3067-3075. https://doi.org/10.1016/j.ijhydene.2010.10.077
- D. Hissel, M. C. Pera, and J. M. Kauffmann, "Diagnosis of automotive fuel cell power generators", J. Power Sources, Vol. 128, 2004, pp. 239-246. https://doi.org/10.1016/j.jpowsour.2003.10.001
- E. Lechartier, E. Laffly, M. C. Pera, R. Gouriveau, D. Hissel, and N. Zerhouni, "Proton exchange membrane fuel cell behavioral model suitable for prognostics", Int. J. Hydrogen Energy, Vol. 40, 2015, pp. 8384-8397. https://doi.org/10.1016/j.ijhydene.2015.04.099
- Z. D. Zhong, X. J. Zhu, and G. Y. Cao, "Modeling a PEMFC by a support vector machine", J. Power Sources, Vol. 160, No. 1, 2006, pp. 293-298. https://doi.org/10.1016/j.jpowsour.2006.01.040
- X. Li, G. Y. Cao, and X. J. Zhu, "Modeling and control of PEMFC based on least squares support vector machines", Energy Convers. Manage., Vol. 47, No. 7, 2006, pp. 1032-1050. https://doi.org/10.1016/j.enconman.2005.04.002
- C. H. Li, X. J. Zhu, G. Y. Cao, S. Sui, and M. R. Hu, "Identification of the Hammerstein model of a PEMFC stack based on least squares support vector machines", J. Power Sources, Vol. 175, No. 1, 2008. pp. 303-316. https://doi.org/10.1016/j.jpowsour.2007.09.049
- J. Hua, L. Lu, M. Ouyang, J. Li, and L. Xu, "Proton exchange membrane fuel cell system diagnosis based on the signed directed graph method", J. Power Sources, Vol. 196, 2011, pp. 5881-5888. https://doi.org/10.1016/j.jpowsour.2011.03.008
- N. Chatti, B. Ould-Bouamama, A. L. Gehin, and R. Merzouki, "Merging Bond Graph and Signed Directed Graph to improve FDI procedure", European Control Conference (ECC), 2013, pp. 1457-1462.