基于JADE算法的钢轨接头病害故障检测研究

Application of JADE Algorithm in Track Rail Joint Irregularity Detection

摘要:

论文分析无缝铁路焊接接头对车辆安全行驶的影响。基于运营车辆的振动响应进行轨道不平顺检测具有效率高，成本低等优点。本文提出将盲源分离算法应用于车辆振动响应信号的分析，盲源分离算法在对振动响应信号直接进行处理，无需源信号的先验知识和信道的参数，降低了轨道接头特征信号提取的难度。通过对南京至宁启线路的轨道接头不平顺进行现场测试，并用matlab编程对测试结果进行分析。分析结果表明本文所采用的盲源分离算法能够较好的提取出轨道接头不平顺的特征信息。

Abstract:

This paper analyzes the seamless railway welded joints’ impact on vehicle safe driving. The track irregularity detection based on the vibration response of operating vehicles has the advantages of high efficiency and low cost. The blind source separation algorithm is applied to analyze the vehicle vibration repose signals in this paper. The blind source separation algorithm directly processes the vibration response signals without the prior knowledge of the source signals and the parameters of the channels, which reduces the difficulty of extracting the characteristic signals of the track joints. Field test was carried out on the track joint irregularity of Nanjing to Ningqi line, and the test results were analyzed by matlab programming. The analysis results show that the blind source separation algorithm used in this paper can extract the feature information of the track joint irregularity.