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Paper lc3-2017-145:
Discussion About the Use of Bayesian Networks Models for Making Predictive Maintenance Decisions

Facilitated by the SciX project

Rafaela Bortolini and Núria Forcada

Discussion About the Use of Bayesian Networks Models for Making Predictive Maintenance Decisions

Abstract: 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.

Keywords: Building Performance, Decision-Making, Predictive Maintenance

DOI: https://doi.org/10.24928/JC3-2017/0145

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