Small-Sample Bearings Fault Diagnosis Based on ResNet18 with Pre-Trained and Fine-Tuned Method

In actual production, bearings are usually in a normal working state, which results in a lack of data for fault diagnosis (FD). Yet, the majority of existing studies on FD of rolling bearings focus on scenarios with ample fault data, while research on diagnosing small-sample bearings remains scarce....

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Bibliographic Details

Main Authors:	Junlin Niu, Jiafang Pan, Zhaohui Qin, Faguo Huang, Haihua Qin
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2024-06-01
Series:	Applied Sciences
Subjects:	residual network18 small sample pre-trained and fine-tuned fault diagnosis variational-mode decomposition symmetric dot pattern
Online Access:	https://www.mdpi.com/2076-3417/14/12/5360
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