Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels

<div>CVs for bearings 11–15 by using RMS under various conditions such as “Normal,” “Slight,” and “Severe.” (a) RMS-bearing 11. (b) RMS-bearing 12. (c) RMS-bearing 13. (d) RMS-bearing 14. (e) RMS-bearing 15.</div>

Complexity

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Figure 19

Figure 19: Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels 

Figure 19 | Data-Driven Bearing Fault Diagnosis of Microgrid Network Power Device Based on a Stacked Denoising Autoencoder in Deep Learning and Clustering by Fast Search without Data Labels 