Bearing Fault Diagnosis Method Based on Multidomain Heterogeneous Information Entropy Fusion and Model Self-Optimisation

Table 1

Results achieved by the algorithms on unimodal functions (dimension = 30).

	Mean SSA	Std.	Mean DA	Std.	Mean GWO	Std.
F1	3.472E − 35	1.654E − 34	1.200E − 02	3.200E − 02	2.061E − 34	3.192E − 33
F2	1.153E − 20	4.559E − 20	1.818E + 00	1.497E + 00	1.155E − 20	3.784E − 19
F3	1.648E − 26	8.040E − 26	2.137E + 02	4.291E + 02	1.569E − 08	1.515E − 08
F4	2.652E − 14	1.221E − 13	1.895E + 00	1.012E + 00	2.024E − 08	1.173E − 08
F5	8.360E − 02	1.988E − 06	2.197E + 00	9.501E − 01	2.645E + 01	1.376E − 04
F6	1.580E − 03	1.541E − 10	1.167E + 00	1.408E + 00	2.223E − 01	1.848E − 01
F7	5.110E − 04	1.660E − 04	1.790E − 03	1.051E − 01	8.752E − 04	4.663E − 04
	Mean ABC	Std.	Mean PSO	Std.	Mean CEI-SSA	Std.
F1	2.689E + 04	2.408E + 04	2.240E − 24	5.938E − 22	0.0	0.0
F2	1.732E + 01	7.150E + 00	1.491E − 12	4.727E − 13	0.0	0.0
F3	1.558E + 01	7.743E + 00	0.075E + 00	0.064E + 00	6.276E − 93	1.492E − 93
F4	1.321E + 05	9.865E + 04	1.262E + 00	1.085E + 00	0.0	0.0
F5	3.532E + 01	1.465E + 01	4.564E + 01	3.543E + 01	5.014E − -08	1.443 E − 07
F6	1.736E + 01	1.736E + 01	7.229E − 04	6.384E − 04	1.350E − 12	1.777 E − 12
F7	1.019E − 04	5.536E − 05	3.024E − 03	2.641E − 03	5.835E − 05	4.013 E − 05