STTR Phase I: Improving the reliability of the United States' energy grid by predicting transformer failures

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $304,948 · view on nsf.gov ↗

Abstract

The broader/commercial impact of this Small Business Technology Transfer Phase I project seeks to develop an electronic partial discharge (PD) monitoring system that addresses the unmet need for noninvasive, cost-effective continuous PD monitoring. Over two-thirds of electrical transformers in the United States are at or past their expected lifespan, leaving the energy grid at risk of catastrophic failure. Current technologies for monitoring transformer health are expensive to operate, invasive, or require the use of additional resources (e.g., off-site analysis equipment). Because of the resources and human-power required of these existing tools, particularly those that require testing at the transformer site, PD monitoring occurs infrequently (i.e., annually) and only identifies PD after it has occurred. The technology to be developed offers risk mitigation by enabling electric companies to make informed decisions about transformer maintenance, utilizing PD detection and prediction capabilities. This technology will have unmatched value in strategic planning, where plans for transformer maintenance and replacement are based on continuous health information. Overall, the technology will positively impact all Americans that use electronics regularly, and could ultimately serve as a platform that can monitor PD in a variety of electrically insulated components, such as switchgears, inverters, generators, and electric motors. The intellectual merit of this project involves

Key facts

NSF award ID
2528410
Awardee
INFINION TECHNOLOGY, INC. (CA)
SAM.gov UEI
LB5WCBE9N1B3
PI
Joseph Kao
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
POWER, CONTROLS & ADAPTIVE NET
Estimated total
$304,948
Funds obligated
$304,948
Transaction type
Standard Grant
Period
10/01/2025 → 09/30/2026