The vibrations of the sprung mass of a passenger car, traveling on a road surface, are random and are its main source but not the only one. The resulting force ratio is further confounded by other factors occurring at the interface of the pneumatic tire with the road surface, such as non-uniformity of tires, errors shape and imbalances. The resulting the additional inertia force acts on the previously brought kinematic force acting on the car body. Occurring at the time of the sprung mass vibrations of the car body can be treated as a potential source of diagnostic information, but their direct identification is difficult. Moreover, all basic identification is complicated by force derived from random interference unevenness in the road. Then the ratio defined as SNR accepts negative values. Due to the lack of description in the literature conclusive research to identify the unbalance the whole pneumatic wheel real conditions, conducted its own experimental research. The main objective of the research was to identify unbalance pneumatic wheel based on the vibration of the sprung mass (body) car. Join the acceleration sensor signal analyzed in the frequency domain to obtain information about specific components such as the value of the amplitude or frequency range prevailing in its spectrum. For the analysis of the recorded signals used in the selected statistical methods (autocorrelation, the probability density distribution), and in the frequency domain (PSD, FFT, STFT). Hence, the paper presents the results of both bench and road implemented in selected speed ranges from 50 to 100 km / h. These studies were related to the results of simulation calculations using the model of quarter car. The application process was based on one-dimensional Bayes and designated distribution function for the strengthening of the classifier developed state of the road surface.