المقتنيات: Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model

Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model

Medium voltage (MV) switchgear is a vital part of modern power systems, responsible for regulating the flow of electrical power and ensuring the safety of equipment and personnel. However, switchgear can experience various types of faults that can compromise its reliability and safety. Common faults...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Alsumaidaee Y.A.M., Paw J.K.S., Yaw C.T., Tiong S.K., Chen C.P., Yusaf T., Benedict F., Kadirgama K., Hong T.C., Abdalla A.N.
مؤلفون آخرون:	58648412900
التنسيق:	مقال
منشور في:	Institute of Electrical and Electronics Engineers Inc. 2024
الموضوعات:	arcing fault deep learning Energy fault detection hybrid model medium voltage switchgear power system safety Accident prevention Deep learning Electric power system control Fault detection Finite difference method Frequency domain analysis Arcing faults Corona Faults detection Faults diagnosis Hybrid model Medium voltage Medium voltage switchgears Power system safeties Ultrasonic imaging
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Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model

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