no code implementations • 28 Aug 2022 • Katharina Rombach, Gabriel Michau, Wilfried Bürzle, Stefan Koller, Olga Fink
Our results demonstrate that the proposed approach is able to learn the ground truth health evolution of milling machines and the learned health indicator is suited for fault detection of railway wheels operated under various operating conditions by outperforming state-of-the-art methods.