||Discussion About the Use of Bayesian Networks Models for Making Predictive Maintenance Decisions
||Rafaela Bortolini and Núria Forcada
||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.
|Year of publication:
||Building Performance, Decision-Making, Predictive Maintenance
Rafaela Bortolini and Núria Forcada (2017).
Discussion About the Use of Bayesian Networks Models for Making Predictive Maintenance Decisions. Lean and Computing in Construction Congress (LC3): Volume I Ð Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 973-980,