Digital and Intelligent Operations, Maintenance, and Inspection of Dielectrics and High-Voltage Equipment

Dear Colleagues, 

The global energy transition and rapid renewable integration are challenging power system reliability and resilience. The failure of critical assets like dielectrics and high-voltage (HV) equipment can have catastrophic consequences. Traditional, schedule-based operation, maintenance, and inspection strategies are no longer sufficient for the complexity of modern grids. Digital transformation, leveraging big data, AI, IoT, and advanced sensing, provides a solution.

This Special Issue, “Digital and Intelligent Operations, Maintenance, and Inspection of Dielectrics and High-Voltage Equipment,” aims to capture the state of the art and future directions in this rapidly evolving field. Our objective is to provide a comprehensive platform for researchers, engineers, and practitioners to share the innovative frameworks and technologies driving the transition from conventional OM&I to data-driven, predictive models.

We invite high-quality original research and review articles on topics including, but not limited to, the following: AI-powered diagnostics and prognostics for fault detection and life prediction; digital twins for real-time monitoring and optimization; advanced sensing and IoT for continuous multi-parameter monitoring; intelligent inspection using robotics and drones; data-driven maintenance strategies; and the cyber–physical security of these digital systems.

This Special Issue aims to foster multidisciplinary dialogue between high-voltage engineering and other fields, contributing to the innovations needed for a more reliable, efficient, and intelligent future grid. We look forward to your submissions.

Dr. Chuyan Zhang
Prof. Dr. Xiaobo Meng
Dr. Hao Yang
Dr. Zhong Wang
Guest Editors

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