Research Article
Applying a Cerebellar Model Articulation Controller Neural Network to a Photovoltaic Power Generation System Fault Diagnosis
Table 10
Test data with additional errors under 300–1000 W/m2 irradiation and PV module surface temperatures between 51 and 60°C.
| | Test no. | (W) | (V) | (A) | (V) | Temperature (°C) | Irradiation (W/m2) | Known fault type |
| | 1 | 792.68
*
| 323.06
*
| 2.84 | 358.83 | 51.5 | 300 | PF1 | | 2 | 1146.19 | 327.78
*
| 3.08
*
| 364.3 | 52.5 | 400 | PF1 | | 3 | 1276.44
*
| 301.9* | 4.9 | 368.22 | 53.5 | 500 | PF2 | | 4 | 1545.71
*
| 275.99 | 5.9 | 408.44
*
| 54.5 | 600 | PF2 | | 5 | 1689.67 | 269.22
*
| 5.52
*
| 373.75 | 55.5 | 700 | PF3 | | 6 | 1837.84
*
| 243.17 | 7.96 | 413.36
*
| 56.5 | 800 | PF3 | | 7 | 1872.46 | 231.46
*
| 7.12
*
| 377.46 | 57.5 | 900 | PF4 | | 8 | 1973.53
*
| 229.58
*
| 9.95 | 378.86 | 58.5 | 1000 | PF4 | | 9 | 726.03 | 255.95 | 2.27
*
| 344.16
*
| 59.5 | 300 | PF5 | | 10 | 1021.06 | 289.66
*
| 3.88 | 356.98
*
| 51.5 | 400 | PF5 | | 11 | 1078.12
*
| 231.04 | 3.92
*
| 287.06 | 52.5 | 500 | PF6 | | 12 | 1305.86
*
| 255.72
*
| 5.91 | 289.46 | 53.5 | 600 | PF6 | | 13 | 1380.6 | 200.41 | 5.51
*
| 274.71
*
| 54.5 | 700 | PF7 | | 14 | 1580.05 | 218.66
*
| 6.36
*
| 251.09 | 55.5 | 800 | PF7 | | 15 | 2051.01
*
| 241.32 | 8.95 | 369.84
*
| 56.5 | 900 | PF8 | | 16 | 2393.71 | 239.48 | 8
*
| 371.21
*
| 57.5 | 1000 | PF8 | | 17 | 577.06 | 220.25
*
| 2.3
*
| 313.59 | 58.5 | 300 | PF9 | | 18 | 751.83
*
| 224
*
| 3.89 | 318.54 | 59.5 | 400 | PF9 | | 19 | 1017.84 | 228.84
*
| 3.91
*
| 287.63 | 51.5 | 500 | PF10 | | 20 | 1232.58 | 209.42 | 4.71
*
| 319.01
*
| 52.5 | 600 | PF10 |
| | Variance | −5% | +10% | −20% | +10% |
|
|
*Indicates the addition of variance in the test data.
|
