Fault Diagnosis Method for Rotating Machinery Based on Hierarchical Amplitude-Aware Permutation Entropy and Pairwise Feature Proximity

Table 6

The comparison of different feature extraction methods.

Different feature extraction methods	Time (s)	Recognition accuracy (%)	The number of misclassifications	Best parameters of SVM
HAAPE	0.056	100	0
MAAPE	0.044	96	6
IMAAPE	0.163	99.33	1
HPE	0.053	90.67	14
MPE	0.031	89.33	16
HSE	0.312	88	18
MSE	0.275	71.33	43