AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...

Advanced sensor technologies and data analytics can proactively identify grid hazards, enhancing safety and operational ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Roshan Mahant is an expert e-Governance Systems Architect at LaunchIT Corp., specializing in public sector IT digitization and automation. The rise of microservices architecture has significantly ...

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical and Electronic Engineering (FKEE), Universiti Tun ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical and Electronic Engineering (FKEE), Universiti Tun ...

AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...