Adaptive fault diagnosis in power transmission lines using deep learning and LSTM autoencoders for enhancing grid reliability

The increasing complexity and dynamic nature of modern electrical grids necessitate advanced, adaptive fault diagnosis systems to maintain high reliability and ensure minimal downtime. This study presents a novel, adaptive fault detection and localization method for three-phase transmission lines ut...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Md Ismail Hossain, Hasanur Zaman Anonto, Tarifuzzaman Riyad, Abu Shufian, Md. Sajid Hossain, Bishwajit Banik Pathik
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Elsevier 2026-01-01
سلاسل:	International Journal of Electrical Power & Energy Systems
الموضوعات:	Smart grid three-phase transmission Fault detection and localization LSTM autoencoder and Deep signal anomaly detection Predictive maintenance Scalability and real-time deployment
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S0142061525010063
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!