TitleSpectral and statistical evaluation of the properties of the vibration measured at the base of an automotive seat for non-Gaussian random noise synthesis
Publication TypeConference Paper
Year of Publication2018
AuthorsGonzález, D, López-Valcarce, R
Conference NameInt. Conf. on Noise and Vibration Engineering, ISMA-USD 2018
Date Published09/2018
Conference LocationLeuven, Belgium
Keywordsrandom vibration
Abstract The first step in the definition of the specifications for the vibration tests of any automotive componentis the recording and evaluation of the properties of the input vibration during field measurements. In thispaper, we explore the properties of the vibration measured at the base of the driver seat when drivingthrough different surfaces, with the purpose of defining a model for non-Gaussian random vibrationtesting. The recorded acceleration signals are first transformed to a 6 Degree of Freedom (DOF) space,and then segmented into stationary sections that are later analyzed. The non-Gaussian nature of therecorded vibration is demonstrated through different Gaussianity hypothesis tests, and the distribution ofthe third and fourth order moments, as well as the crest factor, are computed and analyzed. The secondorderspectral content reveals significant correlation at specific frequencies, while the significance ofthird order polyspectra is checked through hypothesis testing. Based on our observations, a practicaldefinition of the random process is proposed based on second-order spectral content, univariate kurtosisand crest factor levels.