Parametric visualisation of vehicle state: dynamic acoustic portrait

Abstract

This research utilizes 3D topological visualization of acoustic signals to identify engine states. Variations in phase trajectories effectively detect mechanical defects and wear. This method establishes an integral wear index for more precise fault diagnosis.