Fault Diagnosis of PV Array Based on Time Series and Support Vector Machine

Table 2

Classification results of SVM model for fault data with unknown characteristics.

Fault type	Number of test samples	Accuracy
Normal operation D0	4	100%
Fixed shading D1	10	80%
Random shading D2	22	100%
Aging degradation D3	6	100%