Research Article
Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models
Table 7
Multiclass classification results of the deep ANN using original data: (a) GLCM features and (b) LBP features.
| ā | Actual class | Healthy | Less faulty | Medium faulty | Full faulty |
| (a) GLCM features | Predicted class | Healthy | 194 | 39 | 12 | 47 | Less faulty | 0 | 0 | 0 | 0 | Medium faulty | 0 | 0 | 0 | 0 | Full faulty | 32 | 6 | 4 | 60 | Classwise accuracy | 85.8% | 0% | 0% | 56.1% | Overall accuracy | 64.5% |
| (b) LBP features | Predicted class | Healthy | 196 | 18 | 6 | 34 | Less faulty | 0 | 21 | 8 | 5 | Medium faulty | 0 | 0 | 0 | 0 | Full faulty | 30 | 6 | 2 | 68 | Classwise accuracy | 86.7% | 46.7% | 0% | 63.5% | Overall accuracy | 72.3% |
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