IMPROVED VARIATIONAL MODE DECOMPOSITION AND ONE-DIMENSIONAL CNN NETWORK WITH PARAMETRIC RECTIFIED LINEAR UNIT (PRELU) APPROACH FOR ROLLING BEARING FAULT DIAGNOSIS

Improved Variational Mode Decomposition and One-Dimensional CNN Network with Parametric Rectified Linear Unit (PReLU) Approach for Rolling Bearing Fault Diagnosis

As a critical component of rotating machinery, rolling bearings are essential for the safe and efficient operation of machinery.Sudden Baby Jackets faults of rolling bearings can lead to unscheduled downtime and substantial economic costs.Therefore, diagnosing and identifying the equipment status is essential for ensuring the operation and decreasi

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