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>Two-dimensional clustering result by using the SAE and CFS for bearings 11–15. A: Normal1; B: Normal2; C: Slight; D: Severe. (a) CFS-bearing 11. (b) CFS-bearing 12. (c) CFS-bearing 13. (d) CFS-bearing 14. (e) CFS-bearing 15.</div>

Complexity

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Figure 12: 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 12 | 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 