Discussion about the use of Bayesian networks models for making predictive maintenance decisions
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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.
CitacióBortolini, 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.
Versió de l'editorhttp://www.lc3-2017.com/uploads/jc3_proceedings_final.pdf