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

Table 2

The results of the Silhouette index with different cluster numbers by using an SAE/SDAE with adAP (the training dataset). Here, “—” means there is no cluster number equal to 10, 11, or 12.

Model	Dataset	Silhouette index
		Cluster no.
		2	3	4	5	6	7	8	9	10	11	12
SAE-adAP	A	0.330	0.391	0.484	0.538	0.592	0.635	0.664	0.683	0.694	0.672	0.662
	B	0.483	0.510	0.636	0.608	0.630	0.574	0.641	0.678	—	—	—
SDAE-adAP	A	0.413	0.549	0.695	0.738	0.808	0.839	0.935	0.954	—	—	—
	B	0.431	0.512	0.602	0.713	0.812	0.875	0.864	0.889	—	—	—