2023
Robotic Method and Instrument to Efficiently Synthesize Faulty Conditions and Mass-Produce Faulty-Conditioned Data for Rotary Machines
Yip Fun Yeung, Fangzhou Xia, Juliana Covarrubias, Mikio Furokawa, Takayuki Hirano, Kamal Youcef-Toumi
ICRA 2023poster
Condition synthesis is vital for generating data for fault detection and diagnosis studies. Traditional methods rely heavily on human labor. This study proposes a robotic method and its instru-ment to efficiently synthesize faulty conditions and mass-produce data to develop fault detection and diagn…