title: Study of track irregularity time series calibration and variation pattern at unit section.
abstract: Focusing on problems existing in track irregularity time series data quality, this paper first presents abnormal data identification, data offset correction algorithm, local outlier data identification, and noise cancellation algorithms. And then proposes track irregularity time series decomposition and reconstruction through the wavelet decomposition and reconstruction approach. Finally, the patterns and features of track irregularity standard deviation data sequence in unit sections are studied, and the changing trend of track irregularity time series is discovered and described.
authors.affiliation: School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
authors.forename: Chaolong
authors.initials: C
authors.lastname: Jia
authors.affiliation: Chongqing Public Security Bureau, Chongqing 401147, China.
authors.forename: Lili
authors.initials: L
authors.lastname: Wei
authors.affiliation: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Hanning
authors.initials: H
authors.lastname: Wang
authors.affiliation: China National Tendering Center of Mach. & Elec. Equipment, Beijing 100142, China.
authors.forename: Jiulin
authors.initials: J
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D002138:Calibration; D003627:Data Interpretation, Statistical; D006801:Humans; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D014186:Transportation