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根据铁路目前各种自动闭塞制式的信号特点,利用基于小波分析技术的信号奇异性检测方法,通过机车信号记录器数据分析处理软件对机车信号记录器所记录的波形信号进行奇异性检测。从实际的检测结果中可以看出,该方法克服了传统傅立叶检测方法的局限性,具有简单、快速、准确和高效的特点,能够满足铁路现场实际运用的要求。
According to the signal features of various automatic block systems, a signal singularity detection method based on the wavelet analysis technique is adopted in this paper to carry out singularity detection for the data recorded by the cab signaling recorder. The practical detection results show that this method can overcome the limitations of the traditional detection method based on Fourier transformation, and it is simple, fast, accurate, highly efficient, and suitable for site application.
