Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis

Table 4

Test data under 300–1000 W/m² irradiation and PV module surface temperatures between 31 and 40°C.

Test no.	𝑃m (W)	𝑉pm (V)	𝐼pm (A)	𝑉oc (V)	Temperature (°C)	Irradiation (W/m^2)	Known fault type
1	869.43	310.84	2.8	372.56	31.5	300	PF1
2	1195.23	313.34	3.81	377.94	32.5	400	PF1
3	1399.53	289.25	4.84	381.82	33.5	500	PF2
4	1695.32	290.62	5.83	384.93	34.5	600	PF2
5	1758.35	255.11	6.89	387.41	35.5	700	PF3
6	2013.52	256.87	7.84	389.52	36.5	800	PF3
7	1949.64	219.32	8.89	391.26	37.5	900	PF4
8	2164.02	217.65	9.94	392.78	38.5	1000	PF4
9	761.64	268.98	2.83	326.78	39.5	300	PF5
10	1064.23	277.81	3.83	336.43	31.5	400	PF5
11	1183.78	244.95	4.83	297.45	32.5	500	PF6
12	1433.72	246.19	5.82	299.85	33.5	600	PF6
13	1441.41	209.59	6.88	258.68	34.5	700	PF7
14	1650.25	207.82	7.94	260.08	35.5	800	PF7
15	2251.15	251.19	8.96	348.29	36.5	900	PF8
16	2498.68	253.42	9.86	349.63	37.5	1000	PF8
17	602.75	211.32	2.85	327.28	38.5	300	PF9
18	826.64	212.81	3.88	332.09	39.5	400	PF9
19	1057.41	216.95	4.87	297.84	31.5	500	PF10
20	1281.44	218.22	5.87	300.23	32.5	600	PF10