Powerline inspection is evolving from traditional field-based methods toward a more connected, data-driven approach. In this article, Sheyna Reizes explores how drone technology, advanced remote sensing, GIS, and AI are reshaping the way utilities inspect electrical infrastructure and make maintenance decisions.
Discover how the City of Troy transformed thousands of drone inspection images into actionable asset intelligence. By centralizing RGB and thermal data with Gridnostic, the utility streamlined analysis, improved maintenance prioritization, and strengthened documentation for smarter, data-driven grid management.
As electricity demand accelerates, utilities face a growing challenge: maintaining aging grid infrastructure while managing workforce retirements and increasing system complexity. Condition-based maintenance, multi-sensor inspection, and digital intelligence are becoming essential for ensuring long-term grid reliability.
Corona partial discharge affects more than equipment reliability. It can generate radio frequency interference and audible noise that disrupt communications, trigger regulatory concerns, and generate customer complaints. This article explains why early detection is essential for reliable grid operation.
As utilities invest billions in new 765kV transmission infrastructure, ensuring long-term reliability starts long before commercial operation. This article explores why commissioning has become a critical opportunity to detect hidden electrical defects before they become costly operational problems.
Utilities generate vast inspection data, but the real challenge is turning it into decisions. By structuring, analyzing, and connecting data through a standardized workflow, utilities can move from fragmented insights to consistent, risk-based maintenance and improved asset reliability.