TYRE PRESSURE MONITORING SYSTEM USING STATISTICAL ANALYSIS AND ROTATION FOREST ALGORITHM

Abstract

Tyre pressure monitoring systems (TPMS) are dedicated vehicle systems, which is to calculate the vehicle tyre pressure at any condition. Direct tyre pressure monitoring systems use normal pressure sensors to measure the pressure which is fitted within the tyre. These systems are accurate and they need batteries and wireless sensors. An indirect TPMS uses the sensor data from the wheel speed sensor of the anti-lock breaking system and compares them to determine a pressure difference. This paper suggests a new and reliable vehicle tyre pressure supervise hardware using rotation forest algorithm. Vertical wheel hub vibrations are extracted using an accelerometer. The statistical features are acquired from the accelerometer data and the features are classified using rotation forest algorithm. A reasonably good percentage (93.33%) of classification accuracy was attained from the experiment.