Abstract
This Chapter deals with the process of criticality analysis in overhead power lines, as a tool to improve maintenance, felling and pruning programs management. Felling and pruning activities are tasks that utility companies must accomplish to respect the servitudes of the overhead lines, concerned with distances to vegetation, buildings, infrastructures and other networks crossings. Conceptually, these power lines servitudes can be considered as failure modes of the maintainable items under our analysis (power line spans), and the criticality analysis methodology developed, will therefore help to optimize actions to avoid these as other failure modes of the line maintainable items. The approach is interesting, but another relevant contribution of the Chapter is the process followed for the automation of the analysis. Automation is possible by utilizing existing companies IT systems and databases. The Chapter explains how to use data located in Enterprise Asset management Systems, GIS and Dispatching systems for a fast, reliable, objective and dynamic criticality analysis. Promising results are included and also discussions about how this technique may result in important implications for this type of businesses.
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References
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Acknowledgements
This research work was performed within the context of Sustain Owner (‘Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership’), a project sponsored by the EU Framework Program Horizon 2020, MSCA-RISE-2014: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (grant agreement number 645733—Sustain-Owner—H2020-MSCA-RISE-2014); and the project “Desarrollo de Procesos Avanzados de Operacion y Mantenimiento sobre Sistemas Cibero Fisicos (CPS) en el Ambito de la Industria 4.0”, Ministerio de Economía y Competitividad del Gobierno de España, Programa Estatal de I+D+i Orientado a los Retos de la Sociedad. (DPI2015-70842-R). Financed by ERDF (European Regional Development Fund).
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Crespo Márquez, A., Rosique, A.S., Moreu de León, P., Gómez Fernández, J.F., Diego, A.G., Fernández, E.C. (2020). Exploiting EAMS, GIS and Dispatching Systems Data for Criticality Analysis. In: Crespo Márquez, A., Macchi, M., Parlikad, A. (eds) Value Based and Intelligent Asset Management. Springer, Cham. https://doi.org/10.1007/978-3-030-20704-5_7
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