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Discussion about the use of Bayesian networks models for making predictive maintenance decisions
dc.contributor.author | Bortolini, Rafaela |
dc.contributor.author | Forcada Matheu, Núria |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció |
dc.date.accessioned | 2018-02-09T13:22:49Z |
dc.date.available | 2018-02-09T13:22:49Z |
dc.date.issued | 2017 |
dc.identifier.citation | 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.isbn | 978-0-9565951-6-4 |
dc.identifier.uri | http://hdl.handle.net/2117/113972 |
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.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Heriot-Watt University |
dc.subject | Àrees temàtiques de la UPC::Edificació::Manteniment d'edificis |
dc.subject.lcsh | Buildings--Maintenance |
dc.subject.lcsh | Bayesian statistical decision theory |
dc.subject.other | Building performance |
dc.subject.other | Decision-making |
dc.subject.other | Predictive maintenance |
dc.title | Discussion about the use of Bayesian networks models for making predictive maintenance decisions |
dc.type | Conference report |
dc.subject.lemac | Edificis -- Manteniment i reparació |
dc.subject.lemac | Estadística bayesiana |
dc.contributor.group | Universitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció |
dc.identifier.doi | 10.24928/JC3-2017/0145 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.lc3-2017.com/uploads/jc3_proceedings_final.pdf |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 21893817 |
dc.description.version | Postprint (published version) |
local.citation.author | Bortolini, R.; Forcada, N. |
local.citation.contributor | Joint Conference on Computing in Construction |
local.citation.pubplace | Edinburgh |
local.citation.publicationName | LC3 2017: proceedings of the Joint Conference on Computing in Construction (JC3), Heraklion, Crete, Greece, 4-12 July 2017. Volume 1 |
local.citation.startingPage | 973 |
local.citation.endingPage | 980 |