Patrick Louis, Lena Cibulski, Josef Suschnigg, Edmund Marth, Hubert Mitterhofer, Jorn Kohlhammer, Tobias Schreck, Belgin Mutlu
End-of-line tests and defect detection are vital for ensuring the reliability of electric motors. However, automated defect detection methods, e.g., data-driven approaches, face challenges due to the limited availability of real data from failed motors. Simulated data, though beneficial, lacks the complexity of real motors, impacting the performance of these methods when applied to actual observations. To tackle this challenge, we introduce a visual analysis tool designed to facilitate the analysis of measured and simulated data, presented in the form of time series data...
April 24, 2024: IEEE Computer Graphics and Applications