dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció
dc.contributor
Universitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció
dc.contributor.author
Bortolini, Rafaela
dc.contributor.author
Forcada Matheu, Núria
dc.identifier
Bortolini, 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.
dc.identifier
978-0-9565951-6-4
dc.identifier
https://hdl.handle.net/2117/113972
dc.identifier
10.24928/JC3-2017/0145
dc.description.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.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.publisher
Heriot-Watt University
dc.relation
http://www.lc3-2017.com/uploads/jc3_proceedings_final.pdf
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Edificació::Manteniment d'edificis
dc.subject
Buildings--Maintenance
dc.subject
Bayesian statistical decision theory
dc.subject
Building performance
dc.subject
Decision-making
dc.subject
Predictive maintenance
dc.subject
Edificis -- Manteniment i reparació
dc.subject
Estadística bayesiana
dc.title
Discussion about the use of Bayesian networks models for making predictive maintenance decisions
dc.type
Conference report
