A fuzzy adaptive reasoning method for trains slide/slip detection

Abstract

Slide/slip of train is an important factor which affects the accuracy of odometer for train positioning. Accurate and prompt detection of slide/slip can effectively avoid the danger by compensatory measurements. In this paper, an adaptive fuzzy algorithm for slide/slip detection is proposed by applying the measurement information of odometer, Doppler radar sensor, and accelerometer. The adaptive fuzzy reasoning rules for slide/slip detection are established based on actual data and professional experience. The experimental results showed that the performance of fuzzy adaptive reasoning method is better than fixed threshold detecting method. Furthermore, it is capable to detect weakly slide/slip which is usually ignored by fixed threshold detection.