Abstract
Vibration-based condition monitoring technology is regarded as one of the most effective maintenance technologies. Many studies aimed at developing a vision sensor-based condition monitoring system using image processing technologies are being conducted. Event sensors such as dynamic vision sensor have a different operating principle and have many advantages compared to the traditional frame-based sensors; however, for event sensor-based vibration measurement and analysis, the formalized methodology does not exist as an image processing technology. In this study, optical flow and template matching methods were used as tracking methods for event sensor-based condition monitoring. The vibration measurement performance of the representative methods was examined through experiments using a simulator with vertical and horizontal movements. Furthermore, the possibility of extracting changes in the vibration signals according to the state of simulator was investigated.
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