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

<div>The 3-dimensional clustering results for the training dataset by using an SAE/SDAE with adAP. (a) SAE-A-training data-adaptive AP. (b) SAE-B-training data-adaptive AP. (c) SDAE-A-training data-adaptive AP. (d) SDAE-B-training data-adaptive AP.</div>

Complexity

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Figure 9

Figure 9: Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering 

Figure 9 | Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering 