Creation of a knowledge management model based on CBR: Application to the maintenance of  autonomous solar photovoltaic installations

Ibrahima Gueye; Abdoulaye Kebe; Moustapha Diop

doi:10.21744/ijecs.v4n1.1773

Authors

Ibrahima Gueye
igueye5@gmail.com
Laboratoire L3EPI, Ecole Superieure Polytechnique, Ecole Normale Supérieure d’Enseignement Technique et Professionnel Universite Cheikh Anta Diop Dakar, Senegal
Abdoulaye Kebe Laboratoire L3EPI, Ecole Superieure Polytechnique, Ecole Normale Supérieure d’Enseignement Technique et Professionnel Universite Cheikh Anta Diop Dakar, Senegal
Moustapha Diop Laboratoire L3EPI, Ecole Superieure Polytechnique, Ecole Normale Supérieure d’Enseignement Technique et Professionnel Universite Cheikh Anta Diop Dakar, Senegal

Keywords:

CBR, knowledge management, learning, maintenance, solar photovoltaic

Abstract

This paper proposes a solution to facilitate maintenance activities associated with stand-alone solar photovoltaic installations in our developing countries. The autonomous photovoltaic solar installation is not connected to the electricity distribution grid. It meets the electricity needs on the one hand, of those who are too far away and who do not have access to the distribution grid. On the other hand, those who wish to overcome the constraints of connection to the electrical distribution grid. Our work focuses on the capitalization of knowledge in maintenance activity. The goal is to propose a model capable of helping maintenance technicians during their interventions by providing them with knowledge elements that will be drawn from a knowledge base. This knowledge base is built from the knowledge collected during previous maintenance activities in a given solar photovoltaic installation.

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References

Andrews, R. W., Pollard, A., & Pearce, J. M. (2013). The effects of snowfall on solar photovoltaic performance. Solar Energy, 92, 84-97. https://doi.org/10.1016/j.solener.2013.02.014

Belmont, J. M., Butterfield, E. C., & Ferretti, R. P. (1982). To secure transfer of training instruct self-management skills. How and how much can intelligence be increased, 147, 154.

Boral, S., & Chakraborty, S. (2016). A case-based reasoning approach for non-traditional machining processes selection. Advances in Production Engineering & Management, 11(4).

Chakraborty, S., & Boral, S. (2017). A developed case-based reasoning system for machine tool selection. Benchmarking: An International Journal.

Changchien, S. W., & Lin, M. C. (2005). Design and implementation of a case-based reasoning system for marketing plans. Expert systems with applications, 28(1), 43-53. https://doi.org/10.1016/j.eswa.2004.08.002

Chiva-Bartoll, O., Montero, P. J. R., Capella-Peris, C., & Salvador-García, C. (2020). Effects of service learning on physical education teacher education students’ subjective happiness, prosocial behavior, and professional learning. Frontiers in psychology, 11, 331.

Craw, S., Wiratunga, N., & Rowe, R. C. (2006). Learning adaptation knowledge to improve case-based reasoning. Artificial intelligence, 170(16-17), 1175-1192. https://doi.org/10.1016/j.artint.2006.09.001

d'Aquin, M., Lieber, J., & Napoli, A. (2006). Adaptation knowledge acquisition: A case study for case?based decision support in oncology. Computational intelligence, 22(3?4), 161-176.

Dave, B., & Koskela, L. (2009). Collaborative knowledge management—A construction case study. Automation in construction, 18(7), 894-902. https://doi.org/10.1016/j.autcon.2009.03.015

De León, HRH (2006). Supervision and diagnosis of drinking water production processes (Doctoral dissertation, INSA Toulouse).

De Mantaras, R. L., McSherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., ... & Watson, I. (2005). Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review, 20(3), 215-240.

Finnie, G., & Sun, Z. (2003). R5 model for case-based reasoning. Knowledge-Based Systems, 16(1), 59-65. https://doi.org/10.1016/S0950-7051(02)00053-9

Gautam, N. K., & Kaushika, N. D. (2002). Reliability evaluation of solar photovoltaic arrays. Solar Energy, 72(2), 129-141. https://doi.org/10.1016/S0038-092X(01)00085-8

Gueye, I., Kebe, A., & Diop, M. (2021). Creation of a Knowledge Management Model Using Case-Based Reasoning: Application to the Maintenance of Autonomous Solar Photovoltaic Installations. Available at SSRN 3936932.

Haouchine, K., Chebel-Morello, B., & Zerhouni, N. (2009). Auto-increment of expertise for failure diagnostic. IFAC Proceedings Volumes, 42(4), 367-372. https://doi.org/10.3182/20090603-3-RU-2001.0298

Jabrouni, H., Kamsu-Foguem, B., Geneste, L., & Vaysse, C. (2013). Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving. Computers in Industry, 64(8), 1035-1044. https://doi.org/10.1016/j.compind.2013.07.004

Kwon, O., Kim, Y. S., Lee, N., & Jung, Y. (2018). When collective knowledge meets crowd knowledge in a smart city: A prediction method combining open data keyword analysis and case-based reasoning. Journal of healthcare engineering, 2018.

Levenshtein, V. I. (1966, February). Binary codes capable of correcting deletions, insertions, and reversals. In Soviet physics doklady (Vol. 10, No. 8, pp. 707-710).

Mabkhot, M. M., Amri, S. K., Darmoul, S., Al-Samhan, A. M., & Elkosantini, S. (2020). An ontology-based multi-criteria decision support system to reconfigure manufacturing systems. IISE Transactions, 52(1), 18-42.

Madhusudan, T., Zhao, J. L., & Marshall, B. (2004). A case-based reasoning framework for workflow model management. Data & Knowledge Engineering, 50(1), 87-115. https://doi.org/10.1016/j.datak.2004.01.005

Mohler, G. M., Yun, K. A., Carter, A., & Kasak, D. (2009). The effect of curriculum, coaching, and professional development on prekindergarten children's literacy achievement. Journal of Early Childhood Teacher Education, 30(1), 49-68.

Mouchet, A., Vermersch, P., & Bouthier, D. (2011). Methodology for accessing subjective experience: composite interview and video. Knowledge, (3), 85-105.

Mudambi, R. (2002). Knowledge management in multinational firms. journal of international management, 8(1), 1-9. https://doi.org/10.1016/S1075-4253(02)00050-9

Nonaka, I., & Takeuchi, H. (1996). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Long range planning, 4(29), 592.

Paquette, G., Léonard, M., Lundgren-Cayrol, K., Mihaila, S., & Gareau, D. (2006). Learning design based on graphical knowledge-modelling. Journal of Educational Technology & Society, 9(1), 97-112.

Patriotta, G. (2003). Sensemaking on the shop floor: Narratives of knowledge in organizations. Journal of Management Studies, 40(2), 349-375.

Pérez, A. V., Zambrano, F. I. C., Quiroz, A. M. V., Mieles, G. M., & Viteri, C. G. F. V. (2021). Design of a photovoltaic power plant connected to the grid to cover the daytime energy demand of the Jenmer cia ltda service station. International Research Journal of Engineering, IT & Scientific Research, 7(1), 10-24. https://doi.org/10.21744/irjeis.v7n1.1200

Theureau, J. (2020). Distributed cognition and “Course of action”. Activités, 17(17-2).

Troiano, L., Vaccaro, A., & Vitelli, M. C. (2016, June). On-line smart grids optimization by case-based reasoning on big data. In 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) (pp. 1-6). IEEE.

Veliz, J. K. M., Gualán, J. F. V., Mateo, F. A. L., Veléz, A. A. G., & Gámez, M. R. (2021). Isolated photovoltaic system for house: pre-sizing. International Research Journal of Engineering, IT & Scientific Research, 7(1), 25-32. https://doi.org/10.21744/irjeis.v7n1.1225

Veloso, M. M. (1994). Planning and learning by analogical reasoning (Vol. 886). Springer Science & Business Media.

Vermersch, P. (2006). The explanatory interview . Paris: ESF.

Wang, F., Xu, T., Tang, T., Zhou, M., & Wang, H. (2016). Bilevel feature extraction-based text mining for fault diagnosis of railway systems. IEEE transactions on intelligent transportation systems, 18(1), 49-58.