Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques

• المؤلفون الرئيسيون: Mohammed Alsumaidaee Y.A., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Tan C.H., Ali K., Balasubramaniam Y.A.L.
• مؤلفون آخرون: 58648412900
• التنسيق: مقال
• منشور في: MDPI 2024
• الموضوعات: 1D-CNN-LSTM; arcing; deep learning; energy; faults; switchgear

Switchgear and control gear are susceptible to arc problems that arise from slowly developing defects such as partial discharge, arcing, and heating due to faulty connections. These issues can now be detected and monitored using modern technology. This study aims to explore the effectiveness of deep...