Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization

<div>AUC-DLA-OB for detection of fault impulses with the fault characteristic frequency of 26 Hz. (a) Convergence process of solving constrained optimization problems; (b) filtering frequency band related to fault impulses; (c) filtered signal by filters in Figure <a href="../fig13/#b">13(b)</a>; (d) sparse reconstruction signal; (e) learned shock response 1; and (f) location coefficients obtained from simulation signals.</div>

Shock and Vibration

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Figure 13

Figure 13: Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization 

Figure 13 | Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization 