Dynamic Detection of Grooved Rail Irregularity Based on Inertial Reference Method

In recent years, modern tramcar has developed rapidly. The grooved rail is used widely in its main line track. However, at present, the main detection method of its geometric parameters of grooved rail is manual detection, with low working efficiency. Therefore, this paper proposes a set of dynamic detection system of grooved rail irregularity based on inertial reference method, which can realize the detection of grooved rail irregularity such as longitudinal irregularity, alignment irregularity, etc. On the basis of previous work, improvement & application of measuring longitudinal irregularity and alignment irregularity has been proposed. The key points of this improved algorithm are to put forward synthesized filtering algorithm based upon grooved rail's geometric features, which enhances the stability of the detect system; and use the frequency domain integration algorithm, which improves the accuracy of the detect system. Experiment verification shows that the dynamic detection system has the characteristics of high detection accuracy and splendid stability, which provides a new tool for dynamic detection of geometric parameters of grooved rail of modern tramcars.