首页|期刊导航|复杂系统建模与仿真（英文）|Leveraging Deep Transfer Learning and Time-Aware Convolutional Transformers for Stator Winding Fault Diagnosis in Electric Motors:A Digital Twin Approach
复杂系统建模与仿真（英文）2025，Vol.5Issue(4)：370-387,18.DOI:10.23919/CSMS.2025.0005
Leveraging Deep Transfer Learning and Time-Aware Convolutional Transformers for Stator Winding Fault Diagnosis in Electric Motors:A Digital Twin Approach
Leveraging Deep Transfer Learning and Time-Aware Convolutional Transformers for Stator Winding Fault Diagnosis in Electric Motors:A Digital Twin Approach
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deep learning/digital twins/electric motors/fault diagnosis/transfer learningKey words
deep learning/digital twins/electric motors/fault diagnosis/transfer learning引用本文复制引用
Imron Rosyadi,Yul Yunazwin Nazaruddin,Parsaulian Ishaya Siregar..Leveraging Deep Transfer Learning and Time-Aware Convolutional Transformers for Stator Winding Fault Diagnosis in Electric Motors:A Digital Twin Approach[J].复杂系统建模与仿真（英文）,2025,5(4):370-387,18.基金项目
This work was supported by Indonesia Endowment Fund for Education Agency(Lembaga Pengelola Dana Pendidikan),Republic of Indonesia. （Lembaga Pengelola Dana Pendidikan）
