Storms, Wildfires, and the Hidden Faults That Start Them

February 02, 2026
28CD
Grid Modernization , Wildfire Risk Mitigation & Vegetation Management Symposium , Asset Management , Storms and Wildfires , Vegetation Management , Reliability and Resilience

Extreme weather events – whether wind-driven storms or prolonged drought conditions - are testing the resilience of today’s electric grid like never before.  While utilities have made major strides in vegetation management, asset hardening, and system automation, many outages and wildfires still originate from one persistent source: electrical reliability anomalies that go undetected until they ignite or interrupt service.  IND Technology’s Early Fault Detection (EFD™) system represents a transformative step in proactive grid reliability.  By continuously monitoring the network for faint electrical emissions caused by partial discharge, tracking, and arcing, EFD identifies developing faults – on conductors, insulators, or hardware – long before they escalate into outages or ignition events.  This early awareness allows utilities to prioritize repairs, mitigate risk ahead of forecasted storms, and operate with greater situational confidence during wildfire season.

This presentation will highlight field-proven examples of how EFD data has helped utilities detect hidden failures days, weeks, and even months before visual evidence appeared, enabling preventive maintenance and reducing exposure to catastrophic events.  Attendees will learn how integrating EFD with existing SCADA, DMS, and asset management systems not only prevents outages and wildfires but also redefines reliability from a reactive metric to a predictive capability.

Key Takeaways

1.     Hidden faults are a leading, preventable cause of storm outages and wildfire ignitions.  Attendees will understand how partial discharge, tracking, and arcing often develop long before visible signs appear—and why traditional inspection methods miss them.

2.     Early Fault Detection (EFD™) provides the earliest possible warning of developing failures.  Real-world cases will show how utilities have identified faults days, weeks, and even months in advance, enabling proactive repairs, targeted patrols, and risk mitigation before severe weather hits.

3.     Predictive reliability is now essential—not optional—for modern utility operations.  Participants will learn how integrating EFD data with SCADA, DMS, and asset management systems transforms reliability from a reactive repair metric to an anticipatory capability that prevents outages and reduces wildfire exposure.

Session Sponsored by IND Technology

Speakers
Kristian Vukadin
Kristian Vukadin, Head of Network Consultant - IND Technology