Chaotic Extension Neural Network-Based Fault Diagnosis Method for Solar Photovoltaic Systems

Table 7

900 W/m² 25°C diagnostic result.

(a) Original literature

Status	Case
	C1	C2	C3	C4	C5	C6	C7	C8	C9
C1	0.39087	1	0.35864	−0.39016	0.900709	−0.07243	0.23286	−1	−0.57939
C2	−0.13222	0.533484	0.909789	−0.15757	1	0.290808	0.727889	−1	−0.42149
C3	−1	−0.69818	−0.1379	−0.17831	−0.48667	1	−0.03219	−0.76564	−0.36617
C4	−1	−0.68808	−0.10905	0.718689	−0.46948	0.29972	0.000199	0.555377	1
C5	−0.97245	−0.92459	1	−0.92894	−0.89105	−0.89051	−0.85263	−1	−0.95137
C6	−1	−0.87885	−0.65397	1	−0.79396	−0.49521	−0.61154	−0.695	−0.47851
C7	−1	−0.76003	−0.31456	−0.19902	−0.59186	1	−0.23051	−0.70642	−0.36204
C8	−1	−0.79017	−0.40065	0.156169	−0.64312	−0.12567	−0.32716	1	0.345408
C9	−1	−0.68808	−0.10905	0.718689	−0.46948	0.29972	0.000199	0.921613	1

(b) This paper

Status	Case
	C1	C2	C3	C4	C5	C6	C7	C8	C9
C1	1	−1	−0.97775	−0.97193	−0.98589	−0.9741	−0.97647	−0.96965	−0.97134
C2	−0.42441	1	−0.60899	−0.88998	−0.21619	−0.7852	−0.67089	−1	−0.91837
C3	−0.81912	−0.57699	1	−0.66532	−0.35669	−0.34659	0.00116	−1	−0.75167
C4	−1	−0.90157	−0.64017	1	−0.81906	−0.34539	−0.5728	−0.6241	−0.0134
C5	−0.56918	−0.16613	−0.32758	−0.8108	1	−0.63062	−0.43403	−1	−0.85962
C6	−1	−0.82945	−0.37656	−0.38985	−0.68651	1	−0.25984	−0.88577	−0.52306
C7	−0.89864	−0.67586	−0.03513	−0.61682	−0.48165	−0.25189	1	−1	−0.71569
C8	−0.97645	−0.97778	−0.98132	−0.99383	−0.9789	−0.9853	−0.98223	1	−1
C9	−1	−0.92758	−0.73526	−0.05418	−0.86688	−0.51838	−0.6857	−0.56027	1