Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering

Table 3

The results of the best cluster number and classification error accuracy at the maximum Silhouette index value by using different models (the training dataset).

Dataset	Model	Best cluster no.	Silhouette index	Error rate (%)
A	SAE-adAP	10	0.6945	—
	SDAE-adAP	9	0.9545	0
B	SAE-adAP	9	0.6785	4.07
	SDAE-adAP	9	0.8898	2.22