Rough Set Neural Network Feature Extraction and Pattern Recognition of Shaft Orbits Based on the Zernike Moment

Table 3

M moments of the simulated axis orbit.

No.	M1	M3	M4	M5	M6	M7
1	0.01	9.71	10.29	10.16	5.24	10.82
2	0.27	6.60	6.85	6.79	3.44	8.98
3	0.06	8.39	10.61	10.14	5.51	10.30
4	0.26	6.10	8.51	8.14	4.31	8.00
5	1.98	2.00	1.64	2.07	1.04	1.78
6	0.38	4.56	4.61	4.64	2.38	4.96
7	0.19	7.74	7.37	7.68	3.73	7.56
8	0.02	6.88	7.00	6.97	3.51	8.38
9	0.75	1.11	5.34	3.84	2.78	3.93
10	1.50	3.46	0.05	0.69	0.05	0.67
11	0.67	0.77	1.46	0.91	0.81	1.68
12	0.35	0.37	1.69	1.37	0.88	2.37
13	0.21	1.17	2.51	2.20	1.42	2.63
14	0.75	1.11	5.34	3.84	2.78	3.93
15	1.50	3.46	0.05	0.69	0.05	0.67
16	1.50	3.46	0.05	0.69	0.05	0.67
17	1.93	2.61	3.06	2.86	0.46	2.70
18	1.42	1.05	1.41	0.05	0.45	1.32
19	1.15	0.07	0.53	0.38	0.17	0.03
20	0.88	0.48	0.51	0.21	0.25	0.10
21	0.60	1.47	0.34	0.63	0.18	1.37
22	0.39	1.22	0.94	1.02	0.47	1.86
23	0.60	1.47	0.34	0.63	0.18	1.37
24	0.39	1.22	0.94	1.02	0.47	1.86
25	0.20	5.51	8.67	9.60	4.35	7.88
26	0.26	2.40	5.77	5.44	2.88	4.95
27	0.30	1.46	4.71	4.88	2.37	3.90
28	0.53	0.19	2.96	2.31	1.69	2.34
29	0.41	0.28	6.17	4.74	3.25	5.04
30	0.48	0.04	6.36	4.88	3.29	4.94
31	0.56	0.40	5.72	5.31	3.09	4.19
32	0.65	0.77	5.69	4.08	2.86	5.29
33	0.32	0.85	2.09	1.97	1.37	1.89
34	0.37	0.06	2.29	1.87	1.18	1.90
35	0.60	1.29	1.41	0.82	1.11	0.98
36	0.82	2.11	2.16	1.24	1.83	1.25
37	0.32	0.85	2.09	1.97	1.37	1.89
38	0.37	0.06	2.29	1.87	1.18	1.90
39	0.60	1.29	1.41	0.82	1.11	0.98
40	0.92	2.41	2.49	1.28	1.56	1.75