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Paper: lc3-2017-145
| Paper title: | Discussion About the Use of Bayesian Networks Models for Making Predictive Maintenance Decisions |
| Authors: | Rafaela Bortolini and Núria Forcada |
| Summary: | 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. |
| Type: | regular paper |
| Year of publication: | 2017 |
| Keywords: | Building Performance, Decision-Making, Predictive Maintenance |
| Series: | jc3:2017 |
| Download paper: | /pdfs/LC3_2017_paper_145.pdf |
| Citation: | 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, http://itc.scix.net/paper/lc3-2017-145 |
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