Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models

Table 6

Binary classification results of deep ANN with 0.5 as threshold using augmented data: (a) GLCM features and (b) LBP features.

		Actual class
		Healthy	Full faulty
(a) GLCM features
Predicted class	Healthy	249	38
	Full faulty	22	85
Classwise accuracy		91.9%	69.1%
Overall accuracy		84.8%
(b) LBP features
Predicted class	Healthy	247	38
	Full faulty	24	85
Classwise accuracy		91.1%	69.1%
Overall accuracy		84.3%