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Research Article
 

Research on Improving the Accuracy of Speed and Distance Measurement of Train by Redundant Convolution Fault-tolerant Analysis and Multiple Data Fusion



Gang Wang, Shu Li, Yungen Fang and Xiaoqing Zeng
 
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ABSTRACT

In the current operation and control system of trains on the rail transit system, the accuracy of speed and distance measurement is not high and there is a large difference between the measured result and actual situation, because it is generally determined by the fixed adhesive force configured in the system, especially in the condition of idling in low-speed situations and the slipping when braking in high-speed situations. In this study, the redundant convolution fault-tolerant analysis was proposed for self-inspection of speed to identify whether the speed and distance measuring equipment is working normally and the safety redundancy structure of the coding odometer and radar was proposed to guarantee the reliability of speed and distance measurement. In this way, the accuracy of speed and distance measurement was improved and the safety of the train and the comfortableness of passengers was ensured. The proposed method was verified in the simulation environment.

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  How to cite this article:

Gang Wang, Shu Li, Yungen Fang and Xiaoqing Zeng, 2013. Research on Improving the Accuracy of Speed and Distance Measurement of Train by Redundant Convolution Fault-tolerant Analysis and Multiple Data Fusion. Journal of Applied Sciences, 13: 2300-2305.

DOI: 10.3923/jas.2013.2300.2305

URL: https://scialert.net/abstract/?doi=jas.2013.2300.2305
 

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