Methodology for fault detection in induction motors via sound and vibration signals
详细信息 查看全文
- 作者：Paulo Antonio Delgado-Arredondoa ; pa.delgadoarredondo@ugto.mx" class="auth_mail" title="E-mail the corresponding author ; Daniel Morinigo-Sotelob ; daniel.morinigo@eii.uva.es" class="auth_mail" title="E-mail the corresponding author ; Roque Alfredo Osornio-Riosc ; raosornio@hspdigital.org" class="auth_mail" title="E-mail the corresponding author ; Juan Gabriel Avina-Cervantesa ; avina@ugto.mx" class="auth_mail" title="E-mail the corresponding author ; Horacio Rostro-Gonzaleza ; hrostrog@ugto.mx" class="auth_mail" title="E-mail the corresponding author ; Rene de Jesus Romero-Troncosoa ; 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.