- -

Advanced Rotor Fault Diagnosis for Medium-Voltage Induction Motors Via Continuous Transforms

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Advanced Rotor Fault Diagnosis for Medium-Voltage Induction Motors Via Continuous Transforms

Show simple item record

Files in this item

dc.contributor.author Antonino-Daviu, J. es_ES
dc.contributor.author Pons Llinares, Joan es_ES
dc.contributor.author Lee, Sang Bin es_ES
dc.date.accessioned 2018-03-01T12:37:27Z
dc.date.available 2018-03-01T12:37:27Z
dc.date.issued 2016 es_ES
dc.identifier.issn 0093-9994 es_ES
dc.identifier.uri http://hdl.handle.net/10251/98706
dc.description.abstract [EN] Anumber of field case studies for rotor fault diagnosis on medium-voltage induction motors operating in a petrochemical plant are presented in this paper. The methodology employed is based on analyzing the induction motor startup current with advanced signal processing tools (continuous transforms) that enable a capture of a complete picture of the rotor condition. Indeed, unlike the classical tools that often rely on the detection of few fault frequencies, these new tools allow extraction of the evolution of a wide range of fault components during the startup transient and steady-state evolutions, which enables improved reliability. This is crucial in medium-high-voltage motors, where a false diagnosis may result in significant expense due to inspection, repair, or forced outage. An additional contribution of the study is its immunity to external voltage supply disturbances, which introduce components that are not related to the failure and which are difficult to detect with classical tools. The results of this study prove how the advanced continuous tools enable an improved visualization of the fault components, distinguishing them from the other components that are not linked to the failure. es_ES
dc.description.sponsorship This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology under Grant NRF-2013R1A1A2010370, and in part by the Human Resources Development Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) funded by the Korea Government Ministry of Trade, Industry, and Energy under Grant 20134030200340
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation NRF/2013R1A1A2010370
dc.relation NRF/20134030200340
dc.relation.ispartof IEEE Transactions on Industry Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fault diagnosis es_ES
dc.subject Induction motors es_ES
dc.subject Spectral analysis es_ES
dc.subject Transient analysis es_ES
dc.subject Wavelet transforms es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Advanced Rotor Fault Diagnosis for Medium-Voltage Induction Motors Via Continuous Transforms es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1109/TIA.2016.2582720 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, J.; Pons Llinares, J.; Lee, SB. (2016). Advanced Rotor Fault Diagnosis for Medium-Voltage Induction Motors Via Continuous Transforms. IEEE Transactions on Industry Applications. 52(5):4503-4509. doi:10.1109/TIA.2016.2582720 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 12th Petroleum and Chemical Industry Conference Europe (PCIC Europe 2015) Electrical and Instrumentation Applications es_ES
dc.relation.conferencedate June 09-11,2015 es_ES
dc.relation.conferenceplace London, UK es_ES
dc.relation.publisherversion http://doi.org/10.1109/TIA.2016.2582720 es_ES
dc.description.upvformatpinicio 4503 es_ES
dc.description.upvformatpfin 4509 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 52 es_ES
dc.description.issue 5 es_ES
dc.relation.pasarela S\317474 es_ES
dc.contributor.funder National Research Foundation of Korea


This item appears in the following Collection(s)

Show simple item record