Utilities face growing pressure to make smarter maintenance decisions. Gridnostic’s Severity Diagnostic Methodology transforms vast inspection data into objective, prioritized insights—combining AI-guided condition analysis with asset impact context to help utilities focus resources where they matter most.
Switchgear plays a vital role in protecting and routing electrical power, yet it remains vulnerable to partial discharge. Detecting PD early—especially with UV imaging—helps utilities prevent insulation breakdown, avoid costly outages, and ensure long-term reliability of critical equipment.
Commissioning ensures new electrical systems start fault-free. OFIL’s solar-blind UV cameras reveal hidden corona and arcing, enabling immediate corrections. Establishing a clear baseline at commissioning safeguards reliability, reduces future failures, and provides lasting insight through Gridnostic-linked inspection records.
Accurately pinpointing corona partial discharge is critical for effective maintenance. True visual localization with solar‑blind UV cameras enables precise risk assessment, targeted repairs, and reliable predictive maintenance—avoiding costly downtime and maximizing high‑voltage asset performance.
As EVs adopt high-voltage, fast‑switching drives for greater performance, hidden partial discharge in motor insulation is emerging as a critical reliability threat—accelerating wear, risking costly failures, and demanding advanced detection methods beyond traditional testing.
Data centers are power‑hungry engines of the digital economy, with AI accelerating electricity demand. As infrastructure strains under rising loads, predictive maintenance becomes essential to prevent costly outages, protect uptime, and safeguard the critical electrical backbone powering today’s connected world.