Real time monitoring system for automotive tire set using an acoustic signal

In this research, we present a real time monitoring system for Automotive Tire Set (ATS) using an acoustic signal. Order tracking techniques applied in signal processing module by using the recursive Kalman adaptive filtering algorithm which can be used to exact the order amplitudes of global acoustic signals. The detective system combines a signal processing module and orders amplitude calculated of feature extraction. On the basis of acoustic signal extraction to distinguish between normal and abnormal types can be used to acquire high resolution amplitude of different orders. The diagnostic process is based on recording the drive shaft of tire speed. This system is implemented on the platform of National Instruments (NI) compact-RIO and c-series modules. Instantaneous shaft speed and acoustic signal are respectively detected by means of fiber optical and array microphone. Experimental results were carried out for a practical Mitsubishi Freeca Car to appear obviously the effectiveness of the proposed system in tracking the ATS orders with high recognition rate. An intelligent prediction integration system with internet (IPII) for ATS was proposed.