Rolling Bearing Degradation Identification Method Based on Improved Monopulse Feature Extraction and 1D Dilated Residual Convolutional Neural Network

Rolling Bearing Degradation Identification Method Based on Improved Monopulse Feature Extraction and 1D Dilated Residual Convolutional Neural Network

To address the challenges of extracting rolling bearing degradation information and the insufficient performance of conventional convolutional networks, this paper proposes a rolling bearing degradation state identification method based on the improved monopulse feature extraction and a one-dimensio...

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Ngā kaituhi matua: Chang Liu, Haiyang Wu, Gang Cheng, Hui Zhou, Yusong Pang
Hōputu: Tuhinga
Reo:Ingarihi
I whakaputaina: MDPI AG 2025-07-01
Rangatū:Sensors
Ngā marau:
feature extraction
degradation identification
dilated convolution
residual connection
Urunga tuihono:https://www.mdpi.com/1424-8220/25/14/4299
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https://www.mdpi.com/1424-8220/25/14/4299

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