ملف الباحث
Jiaping Shen
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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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 …