Degrees of visible determinism in observational sequences as a mechanical signature of automobile components

Abstract

Degrees of visible determinism in time series of acoustic signals observed for automobile components are estimated using a diagnostic algorithm for diversity in the directions of nearby trajectories generated from the time series in phase space. Degrees of the diversity are shown to be useful as an indicator of mechanical damage of the components.