Abstract
The monitoring of transformers ensures the continuity of their operation. The diagnosis of the insulating oil is an effective method of preventing malfunctions and avoids them. This work involves the adaptation of two swarm intelligence metaheuristics: ant colony optimization and bee colony optimization in the diagnosis of transformer oil. A method of hybridization of the two approaches is proposed. The comparison of the three algorithms shows that the hybrid algorithm yields better results.
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References
Rolland, N., Magnier, P.: Explosions et Incendies de Transformateurs. Méthode d’Evaluation des Couts, Paris, France, pp. 7–15 (2002)
Perrier, C.: Étude des huiles et des mélanges à base d’huile minérale pour transformateurs de puissance – recherche d’un mélange optimal. Thèse de Doctorat, École Centrale de Lyon, France, pp. 1–5 (Avril 2005)
Aouchar, N., Bekhaled, C.: Application des systèmes hybrides neuro-flous au diagnosis des huiles de transformateur. Projet de Fin d’Etudes, Département Génie électrique, Ecole Nationale Polytechnique, Alger, pp. 45–50 (2005)
Bonabeau, E., Théraulaz, G.: L’intelligence en essaim. Pour La Science (271), 66–70 (2000)
Wong, L.P., Low, M.Y., Chong, C.S.: Bee Colony Optimization with Local Search for Traveling Salesman Problem, pp. 1–7. Singapore Institute of Manufacturing Technology, Singapore (2010)
Monmarché, N.: Algorithme de fourmis artificielles-application à la classification et à l’optimisation. Thèse de Doctorat, Université François Rabelais Tours, France, pp. 5–45 (Décembre 2000)
Tfaili, W.: Conception d’un algorithme de colonie de fourmis pour l’optimisation continue dynamique. Thèse de Doctorat, Université Paris 12, Val de Marne, pp. 6–11 (2007)
Bonabeau, E., Dorigo, M., Théraulaz, G.: Swarm intelligence, pp. 1–8. Oxford University Press (1999)
Yu, X., Gen, M.: Introduction to Evolutionary Algorithms, pp. 11–31. Springer (2010)
Teodorovic, D., Selmic, M.: Bee Colony Optimization:The Applications Survey. Faculty of Transport and Traffic Engineering, University of Belgrade, pp. 1–8 (2011)
Farooq, M.: Bee-Inspired Protocol Engineering From Nature to Networks, pp. 147–184. Springer, Heidelberg (2009)
Shuang, B., Chen, J., Li, Z.: PS-ACO Hybrid Algorithm: Study on hybrid PS-ACO algorithm. Springer Science+Business Media
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Smara, A., Bouktit, M.’., Boubakeur, A. (2014). Swarm Intelligence Metaheurisics Application in the Diagnosis of Transformer Oil. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland. Advances in Intelligent Systems and Computing, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-319-07013-1_40
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DOI: https://doi.org/10.1007/978-3-319-07013-1_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07012-4
Online ISBN: 978-3-319-07013-1
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