Abstract
The current state of climatic emergency that we are suffering, combined with the increase in population, is causing water availability to decrease. Therefore, the water distribution and management systems in cities and industrial areas correspond to a critical system. It is, therefore, essential to ensure the robust operation of these kind of systems. In this context, this paper presents a novel proposal for detecting real-time malfunctions in water resource management systems. The proposed method is based on combining the Recursive Least Squares method and detecting hyperplanes using regression methods. The proposal has been validated using a real dataset, and the results obtained have reached 80% F1-score.
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Acknowledgement
Álvaro Michelena’s research was supported by the Spanish Ministry of Universities (https://www.universidades.gob.es/), under the “Formación de Profesorado Universitario” grant with reference FPU21/00932.
Míriam Timiraos’s research was supported by the “Xunta de Galicia” (Regional Government of Galicia) through grants to industrial PhD (http://gain.xunta.gal/), under the “Doutoramento Industrial 2022” grant with reference: 04_IN606D_2022_2692965.
CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01).
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Michelena, Á., Díaz-Longueira, A., Timiraos, M., Quintián, H., Romero, Ó.F., Calvo-Rolle, J.L. (2023). A Novel Method for Failure Detection Based on Real-Time Systems Identification. In: García Bringas, P., et al. International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). CISIS ICEUTE 2023 2023. Lecture Notes in Networks and Systems, vol 748. Springer, Cham. https://doi.org/10.1007/978-3-031-42519-6_5
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DOI: https://doi.org/10.1007/978-3-031-42519-6_5
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