Fig. 1 V/B/V long cortical bone model More about this image found in V/B/V long cortical bone model

Fig. 2 Comparison of the elastic modulus components of the dry cortical bone with different partial porosities ϕ H a v or ϕ C a n More about this image found in Comparison of the elastic modulus components of the dry cortical bone with ...

Fig. 3 Comparison of the Thomsen parameters ε and γ with different partial porosities ϕ H a v or ϕ C a n of the dry cortical bone More about this image found in Comparison of the Thomsen parameters ε and γ with different partial por...

Fig. 4 Variation of the body wave velocities propagating in different directions, with the change in the partial porosity ϕ H a v or ϕ C a n More about this image found in Variation of the body wave velocities propagating in different directions, ...

Fig. 5 Comparison of the change in the axisymmetric longitudinal guided wave ( n = 0) velocities along the vertical ( z -axis) direction of long bone with the variation in the partial porosity ϕ H a v or ϕ C a n and frequency f : ( a ) phase velocity and ( b ) group vel... More about this image found in Comparison of the change in the axisymmetric longitudinal guided wave ( n ...

Fig. 6 Comparison of the change in the non-axisymmetric flexural guided waves ( n = 1) along the vertical ( z -axis) direction of long bone with the variation in the partial porosity ϕ H a v or ϕ C a n and frequency f : ( a ) phase velocity and ( b ) group velocity More about this image found in Comparison of the change in the non-axisymmetric flexural guided waves ( n ...

Fig. 1 Architecture diagram of CNN-transformer neural network More about this image found in Architecture diagram of CNN-transformer neural network

Fig. 2 Window structure and flowchart More about this image found in Window structure and flowchart

Fig. 3 Transformer encoder More about this image found in Transformer encoder

Fig. 4 Flowchart of CNN-transformer algorithm More about this image found in Flowchart of CNN-transformer algorithm

Fig. 5 Experimental platform for comprehensive simulation and data acquisition of bearing faults More about this image found in Experimental platform for comprehensive simulation and data acquisition of ...

Fig. 6 Fault bearings of different fault types and sizes More about this image found in Fault bearings of different fault types and sizes

Fig. 7 Fault signals of rolling bearings collected by the test bench More about this image found in Fault signals of rolling bearings collected by the test bench

Fig. 8 Visualization comparison of feature fusion module results: ( a ) visualization of t-SNE without feature fusion module, ( b ) visualization of t-distributed stochastic neighbor embedding (t-SNE) with feature fusion module, and ( c ) confusion matrix graph with feature enhancement More about this image found in Visualization comparison of feature fusion module results: ( a ) visualizat...

Fig. 9 Visual comparison of different encoder layer results: ( a ) the number of encoder layers is 4, ( b ) the number of encoder layers is 5, ( c ) the number of encoder layers is 6, and ( d ) confusion matrix graph with n = 6 More about this image found in Visual comparison of different encoder layer results: ( a ) the number of e...

Fig. 10 ( a ) Efficiency diagram of different encoder layers and ( b ) accuracy column of different encoder layers More about this image found in ( a ) Efficiency diagram of different encoder layers and ( b ) accuracy col...

Fig. 11 t-SNE visualization with w = 60 More about this image found in t-SNE visualization with w = 60

Fig. 12 Confusion matrix graph with w = 60 More about this image found in Confusion matrix graph with w = 60