Electrical rotating equipment failure detection using wavelet based current signature

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dc.contributor.authorBELARDI, A. A.
dc.contributor.authorFabrizio Leonardi
dc.contributor.authorCARDOSO, J. R.
dc.contributor.authorSARTORI, C. A. F.
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-8056-7645
dc.date.accessioned2022-01-12T22:05:39Z
dc.date.available2022-01-12T22:05:39Z
dc.date.issued2006
dc.description.abstractThis paper presents a methodology suitable for industrial and household electrical equipment failure detection. The proposed approach is based on the Wavelet Based Current Signature Analysis. A current sensor, a digital analogical converter, and an oscilloscope, basically, form the data acquisition system setup. Using software tools, the acquired data are posprocessed. Based on wavelet analysis, the real-time failure detection is carried out. This approach is, particularly, helpful when a high accuracy process is needed. As an example, it can be mentioned the ones concerning the feedback control system applied to industrial machine process, in which the analysis of the electric equipment performance takes a very important role on it. An application related to an electrical drill machine failure detection is presented. © 2006 IEEE.
dc.description.firstpage363
dc.identifier.citationBELARDI, A. A.; LEONARDI, F.; BELARDI, A. A.; SARTORI, C. A. F. Electrical rotating equipment failure detection using wavelet based current signature. 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006, p. 363, Mayo, 2006.
dc.identifier.doi10.1109/CEFC-06.2006.1633153
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4354
dc.relation.ispartof12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
dc.rightsAcesso Restrito
dc.titleElectrical rotating equipment failure detection using wavelet based current signature
dc.typeArtigo de evento
fei.scopus.citations0
fei.scopus.eid2-s2.0-42749100985
fei.scopus.subjectCurrent sensor
fei.scopus.subjectFailure detection
fei.scopus.subjectIndustrial electrical equipment
fei.scopus.subjectWavelet based current signature
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=42749100985&origin=inward
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