Research On Railway Cables Fault Location Method Based On SFT And Related Technology

As an important transmission medium for train control signals,railway signal cables play an important role in ensuring the safe operation of trains.In order to avoid the economic losses caused by the failure point of the cable which can not be repaired in time,it is important to study how to quickly and accurately determine the failure point of the railway signal cable.Railway signal cable fault detection has two important development directions,one is to improve the detection speed,the other is to improve the detection accuracy.This thesis studies these two directions.Firstly,the sparse Fourier transform was studied to improve the detection method of SSTDR in order to improve the computational efficiency.The improved method was verified by simulation,and the test results verified the effectiveness of the improved method.Secondly,by analyzing the factors that affect the accuracy of cable fault detection,the identification of correlation peak in the detection process was analyzed.The factors that affect the resolution of correlation peaks were studied,and an accurate interpolation method of correlation peaks was introduced to improve the accuracy of fault distance detection.Because the test signal is in a specific frequency band,the spectral refine method of a specific frequency band was studied,which makes fault detection improve the accuracy and operation efficiency.Finally,the railway signal cable fault detection platform was built,and the design and development of the FPGA and STM32 in the platform were completed,in which the test signals were sent,and the reflected signals were collected and stored.The platform was used to verify the improvement SSTDR method.The experimental results verified that the platform can complete the fault detection of the railway signal cable.There are 43 figures,3 tables and 57 references in this thesis.