Discrete wavelet integrated convolutional residual network for bearing fault diagnosis under noise and variable operating conditions

Abstract Bearing faults in rotating machinery can lead to significant economic losses due to downtime and pose serious safety risks. Accurate fault diagnosis is crucial for effective condition monitoring. Traditional methods for diagnosing bearing faults under noisy conditions often rely on complex...

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Ngā kaituhi matua:	Yunfeng Ni, Shuang Li, Ping Guo
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Nature Portfolio 2025-05-01
Rangatū:	Scientific Reports
Ngā marau:	Rolling bearing Fault diagnosis Residual neural network Cycle learning rate strategy Wavelet downsampling Discrete wavelet transform
Urunga tuihono:	https://doi.org/10.1038/s41598-025-99346-5
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!