VFQB: A Novel Deep Learning Model for Rolling Bearing Fault Diagnosis. [PDF]
Xiao Z, Xu Y, Cui J.
europepmc +1 more source
A rolling bearing fault diagnosis method based on an improved parallel one-dimensional convolutional neural network. [PDF]
Bai H, Tong W, Geng Z, Gao C.
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Adaptive VMD-K-SVD-Based Rolling Bearing Fault Signal Enhancement Study. [PDF]
Mao M +6 more
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Rolling bearing fault diagnosis under small sample conditions based on WDCNN-BiLSTM Siamese network. [PDF]
Bian C, Jia C, Li J, Chen X, Wang P.
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A study on rolling bearing fault diagnosis using RIME-VMD. [PDF]
Ma Z, Zhang Y.
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A Rolling Bearing Fault Diagnosis Method Based on Wild Horse Optimizer-Enhanced VMD and Improved GoogLeNet. [PDF]
He X, Zhao F, Song N, Liu Z, Cao L.
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Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer. [PDF]
Ren S, Lou X.
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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network. [PDF]
Hao R, Bai Y, Yang K, Cheng Y, Chang S.
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A Rolling-Bearing-Fault Diagnosis Method Based on a Dual Multi-Scale Mechanism Applicable to Noisy-Variable Operating Conditions. [PDF]
Kang J, Wang T, Wei Y, Garba UH, Tian Y.
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Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction. [PDF]
Yang Y, Wang Z, Liu X, Liu T, Luo Z.
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