2026 Event Schedule

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.

Session Sponsored by IND Technology