Author

Nazım İmal

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Open access Jul 2026

A Comprehensive Database and Smart-Learning Framework for Monitoring Failure Risk Factors, Maintenance, and Protection in Electrical Networks

A software-based database-generation and smart-learning framework that converts 22 candidate risk factors into six normalized severity levels and then maps the simultaneous system state to low-, medium-, and high-level protection decisions, supporting early fault detection, maintenance planning, and resilience improvement in renewable-integrated electrical networks is introduced.

A. Elasyri, Nazım İmal, M. Fidan · Energies · 0 citations