A General-Purpose Anomalous Scenario Synthesizer for Rotary Equipment
Yip Fun Yeung Ali Alshehri Lois Wampler Mikio Furokawa Takayuki Hirano Kamal Youcef-Toumi Yip Fun Yeung Ali Alshehri Lois Wampler Mikio Furokawa Takayuki Hirano Kamal Youcef-Toumi
Data synthesizing is crucial for data-driven anomaly prognostics on physical machines. We propose the first general-purpose anomalous scenario synthesizer, GPASS, for rotary equipment. More specifically, we present a design of implementing modular rotational damping, large lateral force, with high-frequency range capability as fundamental modes of physical inputs. The GPASS is a general-purpose pl...