An Integrated Fault Diagnosis Method for Rotating Machinery Based on Smoothness Priors Approach Fluctuation Dispersion Entropy and Density Peak Clustering

<div>The clustering result of the rolling bearing by using the EEMD-FDE-DPC: (a) decision graph and (b) clustering result.</div>

Shock and Vibration

fig11

Figure 11

Figure 11: An Integrated Fault Diagnosis Method for Rotating Machinery Based on Smoothness Priors Approach Fluctuation Dispersion Entropy and Density Peak Clustering 

Figure 11 | An Integrated Fault Diagnosis Method for Rotating Machinery Based on Smoothness Priors Approach Fluctuation Dispersion Entropy and Density Peak Clustering 