Methodology for fault detection in induction motors via sound and vibration signals

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Methodology for fault detection in induction motors via sound and vibration signals

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作者：Paulo Antonio Delgado-Arredondo^a ; ^{pa.delgadoarredondo@ugto.mx" class="auth_mail" title="E-mail the corresponding author} ; Daniel Morinigo-Sotelo^b ; ^{daniel.morinigo@eii.uva.es" class="auth_mail" title="E-mail the corresponding author} ; Roque Alfredo Osornio-Rios^c ; ^{raosornio@hspdigital.org" class="auth_mail" title="E-mail the corresponding author} ; Juan Gabriel Avina-Cervantes^a ; ^{avina@ugto.mx" class="auth_mail" title="E-mail the corresponding author} ; Horacio Rostro-Gonzalez^a ; ^{hrostrog@ugto.mx" class="auth_mail" title="E-mail the corresponding author} ; Rene de Jesus Romero-Troncoso^a ; ^{troncoso@hspdigital.org" class="auth_mail" title="E-mail the corresponding author}
关键词：Fault diagnosis ; Induction motors ; Spectral analysis ; Acoustic sound ; Vibration ; CEEMD
刊名：Mechanical Systems and Signal Processing
出版年：2017
出版时间：15 January 2017
年：2017
卷：83
期：Complete
页码：568-589
全文大小：3490 K

文摘

•: Fault detection in induction motors with vibrations and acoustic signals is shown.
•: Broken rotor bars, bearing defects and unbalance in induction motors are analyzed.
•: The Complete Ensemble Empirical Mode Decomposition method is used.
•: The frequency marginal of the Gabor is used for spectral estimation.

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