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

Table 4

The comparison of different feature extraction methods.

Different feature extraction methods	Time (s)	Recognition accuracy (%)	The number of misclassifications	Best parameters of SVM
HAAPE	0.058	100	0
MAAPE	0.043	97.67	7
IMAAPE	0.165	100	0
HPE	0.051	98	6
MPE	0.032	86.67	40
HSE	0.309	92.33	23
MSE	0.273	83	51