Fault Diagnosis for Motor Bearings via an Intelligent Strategy Combined with Signal Reconstruction and Deep Learning

To overcome the incomplete decomposition of vibration signals in traditional motor-bearing fault diagnosis algorithms and improve the ability to characterize fault characteristics and anti-interference, a diagnostic strategy combining dual signal reconstruction and deep learning architecture is prop...

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Autors principals:	Weiguo Li, Naiyuan Fan, Xiang Peng, Changhong Zhang, Mingyang Li, Xu Yang, Lijuan Ma
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-09-01
Col·lecció:	Energies
Matèries:	motor bearings fault diagnosis feature extraction signal reconstruction deep learning
Accés en línia:	https://www.mdpi.com/1996-1073/17/19/4773
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