Implementation of multidimensional identification of signal characteristics in the analysis of vibration properties of an automotive vehicle's floor panel

The article provides a proposal of software application of a method and an algorithm developed to identify signal characteristics in the analysis of vibration properties of an automotive vehicle's floor panel. Due to the complexity resulting from nonlinear and random nature of vibration phenomena in automotive vehicles, the analysis in question is multidimensional. The property table being established consists of numerous measures and estimators, both dimensional and dimensionless ones, in the domains of amplitudes, time, frequency and time-frequency. The foregoing enables observation and separation of signal components in multiple domains, but it also makes it possible to define signal measures depending on stationary and non-stationary characteristics as well as accurate time positioning of resonant frequencies. Multicriterial approach to identification of vibration enables determining the table of vibration properties measures of floor panel. The table is numerical form of characteristics properties of the vibration signal.