Semisupervised Fault Diagnosis for Gearboxes: A Novel Method Based on a Hybrid Classification Network and Weighted Pseudo-Labeling

To make the gearboxes reliable and secure, accurate and efficient fault diagnosis has received wide attention. Recently, many data-driven intelligent methods have made great progress due to their powerful feature extraction capability. However, most deep learning (DL)-based methods can only perform...

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Veröffentlicht in:	IEEE sensors journal 2023-07, Vol.23 (14), p.16373-16383
Hauptverfasser:	Cheng, Changming, Shan, Duo, Teng, Yuxuan, Zhao, Baoxuan, Peng, Zhike, He, Qingbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Datasets Deep learning Fault diagnosis Feature extraction Gearboxes Industrial applications Labeling Labels Machine learning Wind turbines
Online-Zugang:	Volltext
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