Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning

<div>Time-frequency representations of different methods: (a) actual signal; (b) STFT; (c) CWT; (d) WVD; (e) ST; (f) MSST.</div>

Shock and Vibration

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Figure 2: Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning 

Figure 2 | Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning 