An Integrated Fault Diagnosis Method for Rotating Machinery Based on Improved Multivariate Multiscale Amplitude-Aware Permutation Entropy and Uniform Phase Empirical Mode Decomposition

<div>The performance comparison of the two-dimensional feature vectors reduced by the t-SNE method of the bearing’s 10 working conditions extracted by ImvMAAPE (a), mvMAAPE (b), and MAAPE (c) algorithms.</div>

Shock and Vibration

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Figure 20

Figure 20: An Integrated Fault Diagnosis Method for Rotating Machinery Based on Improved Multivariate Multiscale Amplitude-Aware Permutation Entropy and Uniform Phase Empirical Mode Decomposition 

Figure 20 | An Integrated Fault Diagnosis Method for Rotating Machinery Based on Improved Multivariate Multiscale Amplitude-Aware Permutation Entropy and Uniform Phase Empirical Mode Decomposition 