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

Table 3

Classification results of the inner-race fault using the PNN with the proposed tensor manifold 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	0.97	0.01	0.02	0	0.01	0.98	0.01	0	0.01	0.02	0.97
2	1	0	0	0	0	0.96	0.02	0.02	0	0.02	0.97	0.01	0	0.02	0.02	0.96
3	1	0	0	0	0	0.98	0.01	0.01	0	0.01	0.97	0.02	0	0.03	0.02	0.95
4	1	0	0	0	0	0.95	0.02	0.03	0	0.03	0.95	0.02	0	0.02	0.02	0.96
5	1	0	0	0	0	0.96	0.02	0.02	0	0.01	0.98	0.01	0	0.01	0.03	0.96
6	1	0	0	0	0	0.97	0.01	0.02	0	0.01	0.96	0.03	0	0.05	0.02	0.93
7	1	0	0	0	0	0.94	0.05	0.02	0	0.02	0.95	0.03	0	0.03	0.02	0.95
8	1	0	0	0	0	0.95	0.03	0.02	0	0.02	0.97	0.01	0	0.01	0.01	0.98
9	1	0	0	0	0	0.94	0.02	0.04	0	0.04	0.94	0.02	0	0.03	0.03	0.94
10	1	0	0	0	0	0.93	0.02	0.05	0	0.04	0.93	0.03	0	0.03	0.01	0.96