Research on Intelligent Fault Diagnosis of Rolling Bearing Based on Improved ShufflenetV2-LSTM

Figure 6

Visualization of training process in the improved ShufflenetV2-LSTM model using CWRU data sets 4.5 model generalization ability experiment and result analysis. (a) Features of the input layer. (b) Features before the LSTM layer. (c) Features behind the LSTM layer.