Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery

Table 4

Principal components of feature vectors.

Fault label	Principal components
	PC1	PC2	PC3	PC4	PC5	PC6	PC7	PC8	PC9	PC10	PC11	PC12	PC13
L1	-0.465	0.498	-0.055	-0.516	0.095	0.008	-0.101	0.334	0.151	0.100	-0.040	0.078	-0.097
	-0.459	0.510	-0.076	-0.515	0.116	0.003	-0.082	0.297	0.137	0.083	-0.032	0.076	-0.095
L2	-0.362	-0.252	0.257	-0.034	0.268	-0.861	-0.699	-0.181	-0.131	-0.702	0.053	0.071	-0.185
	0.396	-0.547	-0.194	-0.347	0.161	-0.432	-0.415	0.160	0.059	-0.438	0.510	-0.070	-0.393
L3	0.883	0.374	1.127	0.456	0.168	0.145	-0.120	0.229	-0.036	0.061	0.054	-0.031	0.020
	0.903	0.393	1.113	0.462	0.140	0.162	-0.158	0.221	-0.054	0.065	0.081	-0.054	0.030
L4	-0.724	-1.063	0.770	0.037	-0.593	0.167	0.025	-0.271	-0.099	0.045	0.053	0.124	-0.244
	0.277	-1.649	0.483	-0.168	0.614	1.125	0.160	-0.182	0.285	-0.320	0.017	0.495	0.519
L5	-0.387	0.075	-0.232	-0.161	0.232	0.566	0.057	-0.033	-0.077	-0.069	0.124	0.013	0.072
	-0.334	-0.002	-0.292	-0.107	0.242	0.600	0.082	0.003	-0.120	-0.102	0.127	0.039	0.082
L6	0.350	-0.174	0.128	-0.874	-0.099	-0.441	0.413	0.533	-0.149	0.306	-0.065	0.204	0.002
	-1.335	0.256	-0.407	0.647	-0.262	0.114	0.339	0.128	-0.068	0.374	-0.047	-0.265	-0.284
L7	1.847	0.174	0.321	0.410	0.250	-0.255	-0.026	-0.182	-0.008	0.198	-0.283	0.083	-0.011
	1.995	0.217	0.045	0.276	0.170	-0.364	-0.070	-0.297	-0.048	0.130	-0.086	0.061	0.005
L8	-1.110	0.912	0.024	1.937	-1.912	-0.797	0.348	0.720	-0.036	-0.714	0.657	0.399	0.280
	-1.337	0.116	-0.700	0.553	0.894	-0.020	0.247	-0.459	-0.077	0.289	-0.036	0.308	0.335
L9	-0.845	0.547	-0.570	0.382	-0.046	0.345	0.295	0.237	0.015	-0.127	-0.100	-0.218	0.005
	0.753	0.129	-0.638	0.636	0.267	0.380	0.208	-0.340	-0.274	-0.473	-0.328	-0.078	-0.162