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Assessment of functional condition of equipment in industrial plants based on multiple measurements

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dc.contributor.authorGómez de León Hijes, Félix
dc.contributor.authorSánchez Robles, J.
dc.contributor.authorMartínez García, F. M.
dc.contributor.authorAlarcón García, Mariano
dc.contributor.authorRivera, E. Belén
dc.contributor.departmentIngeniería de la Información y las Comunicaciones
dc.date.accessioned2026-01-23T16:04:45Z
dc.date.available2026-01-23T16:04:45Z
dc.date.copyright© 2020 Elsevier Ltd.
dc.date.issued2020-06-01
dc.description.abstractKnowing the functional condition of production equipment at all times, that is, detecting and assessing any possible malfunction of it from the earliest stage of its appearance, is essential to avoid unforeseen interruptions in the production of any industrial plant. This work provides a methodology for the automatic assessment of the functional condition of the machines through joint evaluation of multiple measurements of one or several parameters, such as vibration or temperature, used in the Condition Based Maintenance for plant equipment. In this way, the information of the machinery status can be immediately implemented in the plant's computer system, making it accessible in real-time to all staff. Because of the dependencies that exist between the components of the machine, false alarms often occur when multiple measurements are analyzed separately. To avoid this, based on the limit values of the standard scale used to evaluate each parameter, this work proposes the use of variable limits, which vary according to the number of available measurements for every piece of equipment, in order to take into account the joint effect of all the measurements when evaluating its functional condition. The result is a novel method that calculates a new variable scale to evaluate each set of measurements carried out on a machine, allowing an immediate assessment of its functional condition, avoiding many false alarms and, therefore, helping to improve decision making.
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dc.format.extent16
dc.identifier.citationGómez de León Hijes, Sánchez Robles, Martínez García, Alarcón García, & Belén Rivera. (2020). Assessment of functional condition of equipment in industrial plants based on multiple measurements. Measurement: Journal of the International Measurement Confederation, 164. https://doi.org/10.1016/J.MEASUREMENT.2020.108014
dc.identifier.doihttps://doi.org/10.1016/j.measurement.2020.108014
dc.identifier.eissn1873-412X
dc.identifier.issn0263-2241
dc.identifier.urihttp://hdl.handle.net/10201/192249
dc.languageeng
dc.publisherElsevier
dc.relationThis work has been developed in the framework of the research projects “PREBYA-2012” (Ref. JUSTO-15634/2012–2017) and “iDiana 4.0” (Ref. JUSTO-31254/2019–2020) of the University of Murcia.
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0263224120305522?via%3Dihub
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCondition-based maintenance
dc.subjectVibration
dc.subjectMachine assessment
dc.subjectIndustry 4.0
dc.subjectFunctional condition
dc.subjectMultiple measurement
dc.subject.odsObjetivo 7: Energía
dc.subject.odsObjetivo 9: Infraestructura
dc.titleAssessment of functional condition of equipment in industrial plants based on multiple measurements
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublication38812f89-0f66-4792-8520-79c0f0dbeaa8
relation.isAuthorOfPublication8149bb7b-b65f-4424-8a27-6488825553d6
relation.isAuthorOfPublication.latestForDiscovery38812f89-0f66-4792-8520-79c0f0dbeaa8
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