ملف الباحث

Chengcheng Wang

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Time-Frequency Fusion Features-Based GSWOA-KELM Model for Gear Fault Diagnosis

    2023 · Lubricants

    To improve the accuracy of gear fault diagnosis and overcome the low diagnostic accuracy of the model caused by manual parameter selection, a combined diagnostic model based on time-frequency fusion features is combined with the …