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dc.contributor.author | García Calva, Tomás Alberto | |
dc.contributor.author | Moríñigo Sotelo, Daniel | |
dc.contributor.author | Fernández Cavero, Vanessa | |
dc.contributor.author | Garcia Perez, Arturo | |
dc.contributor.author | Romero Troncoso, René de Jesús | |
dc.date.accessioned | 2021-03-08T15:04:59Z | |
dc.date.available | 2021-03-08T15:04:59Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Energies, March, 2021, vol. 14, n.5, p. 1469 | es |
dc.identifier.issn | 1996-1073 | es |
dc.identifier.uri | http://uvadoc.uva.es/handle/10324/45567 | |
dc.description | Producción Científica | es |
dc.description.abstract | The fault diagnosis of electrical machines during startup transients has received increasing attention regarding the possibility of detecting faults early. Induction motors are no exception, and motor current signature analysis has become one of the most popular techniques for determining the condition of various motor components. However, in the case of inverter powered systems, the condition of a motor is difficult to determine from the stator current because fault signatures could overlap with other signatures produced by the inverter, low-slip operation, load oscillations, and other non-stationary conditions. This paper presents a speed signature analysis methodology for a reliable broken rotor bar diagnosis in inverter-fed induction motors. The proposed fault detection is based on tracking the speed fault signature in the time-frequency domain. As a result, different fault severity levels and load oscillations can be identified. The promising results show that this technique can be a good complement to the classic analysis of current signature analysis and reveals a high potential to overcome some of its drawbacks. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Motor de inducción | es |
dc.subject.classification | Fault detection | es |
dc.subject.classification | Fault diagnosis | es |
dc.subject.classification | Frequency analysis | es |
dc.subject.classification | Induction motors | es |
dc.subject.classification | Rotating machines | es |
dc.subject.classification | Signal processing | es |
dc.subject.classification | Spectral analysis | es |
dc.subject.classification | Time-frequency decompositions | es |
dc.title | Early Detection of Broken Rotor Bars in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transients | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | Authors | es |
dc.identifier.doi | https://doi.org/10.3390/en14051469 | es |
dc.relation.publisherversion | https://www.mdpi.com/1996-1073/14/5/1469 | es |
dc.identifier.publicationfirstpage | 1469 | es |
dc.identifier.publicationissue | 5 | es |
dc.identifier.publicationtitle | Open-Access | es |
dc.identifier.publicationvolume | 14 | es |
dc.peerreviewed | SI | es |
dc.description.project | Mexican Council of Science and Technology (CONACYT) by the scholarship 487058 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
dc.subject.unesco | 3306.03 Motores Eléctricos | es |
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