1. bookVolume 13 (2018): Issue s1 (March 2018)
    Special Issue
Journal Details
License
Format
Journal
eISSN
1338-7278
First Published
29 Mar 2013
Publication timeframe
2 times per year
Languages
English
access type Open Access

A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique

Published Online: 30 Mar 2018
Volume & Issue: Volume 13 (2018) - Issue s1 (March 2018) - Special Issue
Page range: 135 - 146
Journal Details
License
Format
Journal
eISSN
1338-7278
First Published
29 Mar 2013
Publication timeframe
2 times per year
Languages
English
Abstract

This paper presents an automatic method for detecting vertical track irregularities on tramway operation using acceleration measurements on trams. For monitoring of tramway tracks, an unconventional measurement setup is developed, which records the data of 3-axes wireless accelerometers mounted on wheel discs. Accelerations are processed to obtain the vertical track irregularities to determine whether the track needs to be repaired. The automatic detection algorithm is based on time–frequency distribution analysis and determines the defect locations. Admissible limits (thresholds) are given for detecting moderate and severe defects using statistical analysis. The method was validated on frequented tram lines in Budapest and accurately detected severe defects with a hit rate of 100%, with no false alarms. The methodology is also sensitive to moderate and small rail surface defects at the low operational speed.

Keywords

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