Results 111 to 120 of about 228,051 (167)
New Fault Diagnosis Method for Rolling Bearings Based on Improved Residual Shrinkage Network Combined with Transfer Learning. [PDF]
Sun T, Gao J.
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The Fault Diagnosis of Rolling Bearings Is Conducted by Employing a Dual-Branch Convolutional Capsule Neural Network. [PDF]
Lu W, Liu J, Lin F.
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Vibration characterization of rolling bearings with compound fault features under multiple interference factors. [PDF]
Wang Y, Yang H, Zhao S, Fan Y, Dong R.
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Remaining Useful Life Prediction of Rolling Bearings Based on ECA-CAE and Autoformer. [PDF]
Zhong J +5 more
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The Simulation Analysis and Experimental Study on the Temperature Field of Four Row Rolling Bearings of Rolling Mill under Non-Uniform Load Conditions. [PDF]
Sun J, Guo H, Guo X, Ma C, Peng Y.
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A Triboelectric Rolling Ball Bearing With Self-Powering and Self-Sensing Capabilities
Nano Energy, 2020Qinkai Han, Xueping Xu, Tianyang Wang
exaly

