Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings. [PDF]
Wang B, Liu G, Dai J, Ding C.
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An Adaptive Signal Denoising Method Based on Reweighted SVD for the Fault Diagnosis of Rolling Bearings. [PDF]
Wang B, Ding C.
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Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings. [PDF]
Dong W, Feng B, Liu Y, Zhang S.
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Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM. [PDF]
Sun B, Hu W, Wang H, Wang L, Deng C.
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A fault diagnosis method for rolling bearings in open-set domain adaptation with adversarial learning. [PDF]
Lei T, Pan F, Hu J, He X, Li B.
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Vibration signal analysis for rolling bearings faults diagnosis based on deep-shallow features fusion. [PDF]
Chennana A +8 more
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Reliability evaluation of rolling bearings based on generative adversarial network sample enhancement and maximum entropy method. [PDF]
Meng F +6 more
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A Novel Intelligent Fault Diagnosis Method of Rolling Bearings Based on the ConvNeXt Network with Improved DenseBlock. [PDF]
Song J, Nie X, Wu C, Zheng N.
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KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments. [PDF]
Wang J, Dong Z, Zhang S.
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Fault Diagnosis Method for Rolling Bearings Based on Grey Relation Degree. [PDF]
Mao Y, Xin J, Zang L, Jiao J, Xue C.
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