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Electrical monitoring under transient conditions: a new paradigm in electric motors predictive maintenance

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Electrical monitoring under transient conditions: a new paradigm in electric motors predictive maintenance

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dc.contributor.author Antonino Daviu, José Alfonso es_ES
dc.date.accessioned 2021-05-12T03:32:10Z
dc.date.available 2021-05-12T03:32:10Z
dc.date.issued 2020-09 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166213
dc.description.abstract [EN] Electric motors condition monitoring is a field of paramount importance for industry. In recent decades, there has been a continuous effort to investigate on new techniques and methods that are able to determine the health of these machines with high accuracy and reliability. Classical methods based on the analysis of diverse machine quantities under stationary condition are being replaced by modern methodologies that are adapted to any operation regime of the machine (including transients). These new methods (especially those based on motor startup signal monitoring), that imply the use of advanced signal processing tools, have shown a great potential and have provided spectacular advantages versus conventional approaches enabling, among other facts, a much more reliable determination of the machine health. This paper reviews the background of this recent condition monitoring trend and shows the advantages of this new approach, with regards to its application to the analysis of electrical quantities. Examples referred to its application to real motors operating in industry are included, proving the huge potential of the transient-based approach and its benefits versus conventional methods. es_ES
dc.description.sponsorship This research was funded by by the Spanish 'Ministerio de Ciencia Innovacion y Universidades' and FEDER program in the framework of the 'Proyectos de I + D de Generacion de Conocimiento del Programa Estatal de Generacion de Conocimiento y Fortalecimiento Cientifico y Tecnologico del Sistema de I + D + i, Subprograma Estatal de Generacion de Conocimiento' (ref: PGC2018-095747-B-I00). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095747-B-I00/ES/TECNOLOGIAS AVANZADAS BASADAS EN EL ANALISIS DEL FLUJO DE DISPERSION EN REGIMEN TRANSITORIO PARA EL DIAGNOSTICO PRECOZ DE ANOMALIAS ELECTROMECANICAS EN MOTORES ELECTRICOS/ es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Induction motor es_ES
dc.subject Fault diagnosis es_ES
dc.subject Electrical monitoring es_ES
dc.subject Transient analysis es_ES
dc.subject Rotor es_ES
dc.subject Reliability es_ES
dc.subject Predictive maintenance es_ES
dc.subject Wavelet transforms es_ES
dc.subject Current es_ES
dc.subject Stray flux es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Electrical monitoring under transient conditions: a new paradigm in electric motors predictive maintenance es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app10176137 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation Antonino Daviu, JA. (2020). Electrical monitoring under transient conditions: a new paradigm in electric motors predictive maintenance. Applied Sciences. 10(17):1-16. https://doi.org/10.3390/app10176137 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app10176137 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 17 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\417285 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES


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