The condition of line equipment that track inspection car (or track recording car. which test geometry data of track, consist track gauge, cross level, longitudinal level, track alignment, twist, etc) examines has the attribute of high authenticity; as a result, it is an important way to obtain the true state of the track. However, this method also meets the problem of mileage excursion and noisy data. This paper employs the theoretical of gray relevancy of gray systems to analyze the waveform data that track inspection car examines, and makes corrections to mileage excursion, and then gets rid of the noisy data using the method of wavelet transform, so that the real track detecting data about track state can be achieved. This paper also makes the comparison between the effects of three threshold values in reducing noises, and pointed out their respective advantages and disadvantages.

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