Determination of Rail Vertical Profile through Inertial Methods

Undergrounds and other metropolitan railway systems are characterized by their intense traffic, lasting up to 20 h per day, and so they need their maintenance work programmes to be optimized, implying an optimization of the monitoring processes. This article proposes an alternative to the traditional optical methods for monitoring rail profiles which can only be carried out by special vehicles. This is a new procedure that obtains the rail profile by means of inertial methods. The model this work is based on takes its input from the vertical accelerations produced in railway axles measured in trains running on regular services and calculates the rail irregularities that have originated them. The model uses the Fourier transform in order to solve the equations and find the transfer function that relates the input function and the output function in the frequency domain. The solution is then reverted into the time domain by applying the inverse Fourier transform. Data input comes from real measurements taken on line 9 of the Madrid underground, and the model's effectiveness was then analysed by comparing the output data with the rail profile taken using optical methods.

[1]  Ralph Glaus,et al.  The Swiss Trolley: A modular system for track surveying , 2006 .

[2]  Eiji Yazawa,et al.  Development of Measurement Device of Track Irregularity using Inertial Mid-chord Offset Method , 2002 .

[3]  Andrea Collina,et al.  A measurement system for quick rail inspection and effective track maintenance strategy , 2007 .

[4]  Patrice Aknin,et al.  On-line rail defect diagnosis with differential eddy current probes and specific detection processing , 2003 .

[5]  C. Roberts,et al.  Monitoring vertical track irregularity from in-service railway vehicles , 2007 .

[6]  Stuart L. Grassie,et al.  Rail corrugation: advances in measurement, understanding and treatment , 2005 .

[7]  Mikihito Kobayashi,et al.  Condition monitoring of shinkansen tracks using commercial trains , 2008 .

[8]  Kenneth P. Kramp The Analysis and Creation of Track Irregularities Using TRAKVU , 1998 .

[9]  Patrice Aknin,et al.  Blind Source Separation for Detection and Classification of Rail Surface Defects , 2003 .

[10]  E. Berggren,et al.  A new approach to the analysis and presentation of vertical track geometry quality and rail roughness , 2008 .

[11]  Allou Samé,et al.  Mixture-model-based signal denoising , 2007, Adv. Data Anal. Classif..

[12]  Katsushi Manabe Verification of Wavelength-Fixing Mechanism for Rail Corrugation Caused by Multiple-Wheel Interaction , 2007 .

[13]  Alfredo Cigada,et al.  Rail inspection in track maintenance: A benchmark between the wavelet approach and the more conventional Fourier analysis , 2007 .

[14]  Stuart L. Grassie,et al.  Measurement of railhead longitudinal profiles: a comparison of different techniques , 1996 .

[15]  Mehdi Ahmadian Filtering effects of mid-cord offset measurements on track geometry data , 1999, Proceedings of the 1999 ASME/IEEE Joint Railroad Conference (Cat. No.99CH36340).

[16]  H.A. Toliyat,et al.  Rail defect diagnosis using wavelet packet decomposition , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[17]  Latifa Oukhellou,et al.  DEDICATED SENSOR AND CLASSIFIER OF RAIL HEAD DEFECTS , 1999 .