Time-Frequency Fault Feature Extraction for Rolling Bearing Based on the Tensor Manifold Method

Table 4

Classification results of the inner-race fault using the PNN with traditional HHT time-frequency features.

Sample	Category vector of the normal-state samples				Category vector of the inner-race mild-damage; fault samples				Category vector of the inner-race moderate-damage; fault samples				Category vector of the inner-race severe-damage; fault samples
1	1	0	0	0	0	0.92	0.05	0.03	0	0.11	0.87	0.02	0	0.12	0.05	0.83
2	1	0	0	0	0	0.87	0.06	0.07	0	0.06	0.89	0.05	0	0.05	0.06	0.89
3	1	0	0	0	0	0.88	0.06	0.06	0	0.07	0.91	0.02	0	0.06	0.06	0.88
4	1	0	0	0	0	0.91	0.07	0.02	0	0.03	0.92	0.05	0	0.06	0.02	0.92
5	1	0	0	0	0	0.83	0.09	0.08	0	0.06	0.90	0.04	0	0.03	0.06	0.91
6	1	0	0	0	0	0.89	0.05	0.06	0	0.09	0.86	0.05	0	0.05	0.06	0.89
7	1	0	0	0	0	0.92	0.04	0.04	0	0.05	0.91	0.04	0	0.06	0.03	0.91
8	1	0	0	0	0	0.90	0.06	0.04	0	0.03	0.92	0.05	0	0.05	0.12	0.83
9	1	0	0	0	0	0.91	0.04	0.05	0	0.09	0.86	0.05	0	0.15	0.07	0.78
10	1	0	0	0	0	0.92	0.03	0.05	0	0.05	0.89	0.06	0	0.11	0.06	0.83