Fault Detection Of Railway Track By
Multi-resolution Analysis
Author(s)
T. Kojima, H. Tsunashima & A. Matsumoto
Abstract
Conditions of track have conventionally been measured by using exclusive
inspection vehicles. If the conditions of the track can be detected by attaching
simple sensors such as accelerometers on board of commercial vehicles, more
efficient maintenance of tracks would be possible. This paper describes rail
corrugation detection from the vertical acceleration of a vehicle body by timefrequency
analysis. An actual vehicle running tests on a commercial line was
conducted, in which vertical acceleration of axle-boxes and a vehicle body were
measured. In this paper we show the rail corrugation can be detected from the
vertical acceleration of a vehicle body by multi-resolution analysis (MRA) using
wavelet transform.
Keywords: railway, spectrum analysis, diagnostics, rail corrugation, fault
detection, wavelet, multi-resolution analysis.
1 Introduction
Faults of railway tracks not only cause deterioration in ride quality but also
generate noise and have the potential to cause serious accidents. The track faults
have conventionally been measured using exclusive track inspection vehicles.
However, this method is costly and is therefore not widely employed on local
and sub-main lines. It also has a problem in that very frequent inspections cannot
be made if schedules are overcrowded, even on priority lines.
If faults can be detected by attaching simple sensors such as accelerometers to
commercial vehicles, more efficient maintenance of tracks would be possible.
Such vehicles are called \“probe-vehicles”. In order to put \“probe-vehicles” to
Keywords
railway, spectrum analysis, diagnostics, rail corrugation, fault
detection, wavelet, multi-resolution analysis.
Related Book
Other papers in this volume
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