Study of Railway Track Irregularity Standard Deviation Time Series Based on Data Mining and Linear Model
Chaolong Jia, Weixiang Xu, Wei Lili, Hanning Wang · Mathematical Problems in Engineering · 2013
Good track geometry state ensures the safe operation of the railway passenger service and freight service. Railway transportation plays an important role in the Chinese economic and social development. This paper studies track irregularity standard deviation time series data and focuses on the characteristics and trend changes of track state by applying clustering analysis. Linear recursive model and linear-ARMA model based on wavelet decomposition reconstruction are proposed, and all they offer supports for the safe management of railway transportation.