Possibilities of using vibration signals for the identification of pressure level in tires with application of neural networks classification

The article provides a discussion on the studies comprising active experiments conducted on passenger car and analytical experiment on application of neural networks in the identification of pressure level in tires of a vehicle based on vibration signals. The purpose of research was to analyze the possibilities of monitoring of pressure in tires during the diagnostics tests of shock absorbers. The paper presented on last International Congress on Technical Diagnostics in 2008 examined the influence of changes of pressure in tires on the results of diagnostics test of shock absorbers. Those influences were observed in typical test methods used in vehicles service stations and even in new vibration methods. The article presents some results of research on neural network classification method of pressure in tires level. Tested solutions can be used as the preliminary module of diagnostics system during the shock absorber test. The signal processing methods were based on application of time, frequency and time-frequency transformations which enables obtaining the signals information carried in one or two domains simultaneously, namely those of time and frequency.