Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 30, 2023 - December 01, 2023
This paper proposes a method for automatic tuning of analysis parameter in the period analysis method ARS. Feature that indicates abnormalities in industrial machinery sometimes appear in relatively low-speed vibrations. ARS can detect these features because ARS has high resolution in the low frequency band. However, its parameters are currently determined heuristically. This is one of the challenges in applying ARS to practical systems. In this study, we propose to automatically adjust the parameters by taking advantage of the problems that exist in the ARS. Simulation results show that the parameters that were previously determined empirically can now be determined mechanically.
