Rolling bearing fault diagnosis based empirical wavelet transform using vibration signal

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dc.contributor.authorMerainani, Boualem
dc.contributor.authorRahmoune, Chemseddine
dc.contributor.authorBenazzouz, Djamel
dc.contributor.authorOuld-Bouamama, Belkacem
dc.date.accessioned2017-02-19T11:51:39Z
dc.date.available2017-02-19T11:51:39Z
dc.date.issued2017
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/3312
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesProceedings of 2016 8th International Conference on Modelling, Identification and Control, ICMIC/ (2016);pp. 526-531
dc.subjectVibrationsen_US
dc.subjectWavelet transformsen_US
dc.subjectFault diagnosisen_US
dc.subjectFilter banksen_US
dc.subjectResonant frequencyen_US
dc.subjectRolling bearingsen_US
dc.titleRolling bearing fault diagnosis based empirical wavelet transform using vibration signalen_US
dc.typeOther

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