Association Rule-Based Feature Mining for Automated Fault Diagnosis of Rolling Bearing

<div>The classification accuracies of defect types using fuzzy proximity method. (a) The classification accuracy of each type of bearing defect and (b) the average accuracy of 10 types of bearing defects.</div>

Shock and Vibration

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Figure 7

Figure 7: Association Rule-Based Feature Mining for Automated Fault Diagnosis of Rolling Bearing 