dc.creatorJosé de Jesús Rangel Magdaleno
dc.creatorHayde Peregrina Barreto
dc.creatorJUAN MANUEL RAMIREZ CORTES
dc.creatorMaría del Pilar Gómez Gil
dc.creatorROBERTO MORALES CAPORAL
dc.date2013
dc.date.accessioned2023-07-25T16:25:26Z
dc.date.available2023-07-25T16:25:26Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2347
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807523
dc.descriptionBroken bars detection on induction motors has been a topic of interest in recent years. Its detection is important due to the fact that the failure is silent and the consequences it produces as power consumption increasing, vibration, introduction of spurious frequencies in the electric line, among others, can be catastrophic. In this paper, the use of motor current signature analysis and mathematical morphology to detect broken bars on induction motors under different mechanical load condition is analyzed. The proposed algorithm first identifies the motor load and then the motor condition. The statistical analysis of several tests under different motor loads (100%, 75%, 50%, and 25%) and motor condition (healthy, one broken bar, and two broken bars) is presented. The proposed method has been implemented in a field programmable gate array, to be used in real-time online applications. The algorithm obtained in average a 95% accuracy of failure detection.
dc.formatapplication/pdf
dc.languageeng
dc.publisherIEEE
dc.relationcitation:Rangel, J.J., et al., (2013). FPGA-Based Broken Bars Detection on Induction Motors Under Different Load Using Motor Current Signature Analysis and Mathematical Morphology, IEEE Transactions on Instrumentation and Measurement, Vol. 63 (5): 1032-1040
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Broken bars/Broken bars
dc.subjectinfo:eu-repo/classification/Fault diagnosis/Fault diagnosis
dc.subjectinfo:eu-repo/classification/FPGA/FPGA
dc.subjectinfo:eu-repo/classification/Mathematical morphology/Mathematical morphology
dc.subjectinfo:eu-repo/classification/MCSA/MCSA
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleFPGA-Based Broken Bars Detection on Induction Motors Under Different Load Using Motor Current Signature Analysis and Mathematical Morphology
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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