Health monitoring of vehicle structure by using feature extraction based on wavelet transform

摘要

In recent years, development of the wireless communication technology is able to provide useful information and active safety for the drivers. Though many researchers try to monitor a traffic congestion, weather condition, road surface condition and car maintenance by the on-board TV camera or the probe car system, sensor signals of these have non-stationary and transitory characteristics while the vehicle is in motion. In this study, we specially turn attention to the feature extraction for the strain signals while the vehicle is in motion. We examine that the local analysis based on the Discrete Wavelet Transform and the Short-Time Fourier Transform applied to the feature extraction of the failure detection.