🏆 First place at Russian Energy Week 2026

Valeria Borovskikh, a junior researcher at UrFU’s CDEE Research Laboratory, took first place at the Rosseti Group final conference, held as part of Russian Energy Week 2026 Youth Day.

🔍 Valeria presented research on how thermal image quality affects electrical equipment diagnostics. The study assessed how noise, blur, and the temperature bit depth of image frames affect the accuracy of fault detection at electrical substations.

⚡ The findings have practical significance: image blur has the greatest effect on errors in detecting equipment overheating.

🤖 This is a particularly instructive example for AI applications. Even the most accurate model cannot produce reliable results if its input data are of insufficient quality. Image quality requirements and data preparation are therefore as integral to intelligent diagnostics as the algorithms themselves. The study’s findings will help justify more stringent requirements for thermal imaging quality in the electric power industry.

Congratulations to Valeria on her achievement! 👏