3 papers
cs.LG2026
Correcting Sensor-Induced Distribution Drift with Wasserstein Adversarial Learning
Saraa Ali, Vladimir Bocharnikov, Fedor Ratnikov +3
The quality of recorded data depends on the stability of the sensor system that acquires it. Sensor motion and aging can degrade the performance and stability of downstream data-dr…
cs.LG2025
Learning to Hear Broken Motors: Signature-Guided Data Augmentation for Induction-Motor Diagnostics
Saraa Ali, Aleksandr Khizhik, Stepan Svirin +2
The application of machine learning (ML) algorithms in the intelligent diagnosis of three-phase engines has the potential to significantly enhance diagnostic performance and accura…
eess.SP2024
Intelligent Algorithms For Signature Diagnostics Of Three-Phase Motors
Stepan Svirin, Artem Ryzhikov, Saraa Ali +1
The application of machine learning (ML) algorithms in the intelligent diagnosis of three-phase engines has the potential to significantly enhance diagnostic performance and accura…