Advanced acoustic signal analysis used for wheel-flat detection

One of the most important aspects in operation rail vehicles is implementation transport while ensuring safety and comfort passengers. Technical condition wheel rolling surfaces has a direct impact on these factors. These elements are subject to wear tear continuous discrete form. forms wheel-flat that generate impulse noise. This translates into significant deterioration vibroacoustic comfort, extreme cases also greater risk associated with e.g. derailment vehicle. Therefore, it desirable particular by stock operator carry out cyclic diagnostics monitoring surfaces. paper continuation series research articles carried authors related light vehicles. As part this article, acoustic measurements were at dedicated track-side system during so-called pass-by tests. Acoustic signals analyzed accordance Fourier Hilbert transforms. Additionally, main assumptions analyses point measures used. allowed for development yet another way occurrence problem flats