2022
RoSA:A Mechatronically Synthesized Dataset for Rotodynamic System Anomaly Detection
Yip Fun Yeung, Alex Paul-Ajuwape, Farida Tahiry, Mikio Furokawa, Takayuki Hirano, Kamal Youcef-Toumi
IROS 2022poster
The time-series datasets commonly applied for anomaly detection research showcase specific suboptimal properties. This work novelly conceptualizes condition state synthesis to improve the data-synthetic pipeline of an anomalous-event dataset. We demonstrate two technical contributions in this study.…