Research Article
Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models
Table 8
Multiclass classification results of the deep ANN using augmented data: (a) GLCM features and (b) LBP features.
| ā | Actual class | Healthy | Prob. 0.33 | Medium faulty | Full faulty |
| (a) GLCM features | Predicted class | Healthy | 148 | 13 | 3 | 20 | Prob. 0.33 | 27 | 27 | 02 | 9 | Medium faulty | 12 | 2 | 9 | 15 | Full faulty | 39 | 3 | 2 | 63 | Classwise accuracy | 65.5% | 60% | 56.2% | 58.9% | Overall accuracy | 62.7% |
| (b) LBP features | Predicted class | Healthy | 182 | 7 | 2 | 25 | Less faulty | 7 | 34 | 3 | 2 | Medium faulty | 7 | 2 | 10 | 6 | Full faulty | 30 | 2 | 1 | 74 | Classwise accuracy | 80.5% | 75.5% | 62.5% | 69.1% | Overall accuracy | 76.1% |
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