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Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Rolling bearing fault diagnosis based on acoustic-vibration data fusion and mode decomposition combined with the crested porcupine optimization algorithm. [PDF]
Jiang M, Luo M, Zhang C, Shu M, Sun G.
europepmc +1 more source
Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis. [PDF]
Feng Z +6 more
europepmc +1 more source
A Reinforcement Ensemble Learning Method for Rolling Bearing Fault Diagnosis under Variable Work Conditions. [PDF]
Li Y, Zhang Y, Wang R, Fu J.
europepmc +1 more source
Wear prediction of high performance rolling bearing based on 1D-CNN-LSTM hybrid neural network under deep learning. [PDF]
Hu L, Wang J, Lee HP, Wang Z, Wang Y.
europepmc +1 more source
Rolling bearing fault diagnosis based on fine-grained multi-scale Kolmogorov entropy and WOA-MSVM. [PDF]
Wang B, Li H, Hu X, Wang C, Sun D.
europepmc +1 more source
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2013
The invention relates to a rolling bearing comprising a set of rolling bodies (1) which are held by a cage (2). The cage (2) consists of two cage disks (3, 4) which are connected to each other by a number of pins (5, 6). The aim of the invention is to achieve a high strength of the cage. According to the invention, this is achieved in that two pins (5,
openaire +2 more sources
The invention relates to a rolling bearing comprising a set of rolling bodies (1) which are held by a cage (2). The cage (2) consists of two cage disks (3, 4) which are connected to each other by a number of pins (5, 6). The aim of the invention is to achieve a high strength of the cage. According to the invention, this is achieved in that two pins (5,
openaire +2 more sources

