Discussion about the use of Bayesian networks models for making predictive maintenance decisions
Tipo de documentoTexto en actas de congreso
Fecha de publicación2017
Condiciones de accesoAcceso restringido por política de la editorial
The performance of a building decreases with time and this process is accelerated if proper maintenance is not carried out. This paper presents a discussion about the importance of predictive maintenance actions to enhance the condition of existing buildings. An approach based on Bayesian networks (BN) is proposed to predict the condition of a building. The proposed approach consists of a conceptual and generic model, including the factors with more influence in the condition of a building, which were identified by a literature review. The relationships between these factors and a discussion about the application of this model in maintenance decision-making are provided.
CitaciónBortolini, R., Forcada, N. Discussion about the use of Bayesian networks models for making predictive maintenance decisions. A: Joint Conference on Computing in Construction. "LC3 2017: proceedings of the Joint Conference on Computing in Construction (JC3), Heraklion, Crete, Greece, 4-12 July 2017. Volume 1". Edinburgh: Heriot-Watt University, 2017, p. 973-980.
Versión del editorhttp://www.lc3-2017.com/uploads/jc3_proceedings_final.pdf