A fundamental study on the rolling noise of the wheel/rail system of a railway vehicle.

An on-board device for bolting to the axlebox of a railway vehicle or locomotive to measure rolling noise close to the wheel surface has been developed by the authors (1, 2). Even though laboratory calibration and test runs have shown that the measured noise data are consistent, there was no way to prove that they were in accordance with the on-ground measured ones. Italian State Railways (FS) have performed tests with different wheelsets to evaluate the efficiency of several noise-reduction solutions; during these tests it was possible to repeat noise measurements on-board, therefore obtaining a sufficient amount of data to calibrate the device and to analyse in detail the behaviour of such wheelsets. Calculated calibration constants prove that on-board measured data can be used with confidence to estimate noise levels at several distances from the track, thereby reducing the necessity of long and expensive on-ground tests to measure environmental noise pollution.

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A Fundamental Study on Fine Unevenness and Tangent Force on Wheel Tread of Railway Vehicle (Relations between Environmental Condition and Tangent Force Characteristics with a Two-Disk Rolling Machine)

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.77.3211 ◽

2011 ◽

Vol 77 (781) ◽

pp. 3211-3222 ◽

Cited By ~ 4

Author(s):

Daisuke YAMAMOTO ◽

Hua CHEN

Keyword(s):

Railway Vehicle ◽

Environmental Condition ◽

Fundamental Study ◽

Disk Rolling ◽

Force Characteristics

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453 A Possibility of Sound Monitoring for Railway Vehicle with Simplified System : A fundamental study for detection of derailment

The Proceedings of the Dynamics & Design Conference ◽

10.1299/jsmedmc.2010._453-1_ ◽

2010 ◽

Vol 2010 (0) ◽

pp. _453-1_-_453-5_

Author(s):

Takeo SHIROTORI ◽

Toshihiro YASUNAGA

Keyword(s):

Railway Vehicle ◽

Fundamental Study ◽

System A

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Fault detection of wheel in wheel/rail system using kurtosis beamforming method

Structural Health Monitoring ◽

10.1177/1475921719855444 ◽

2019 ◽

Vol 19 (2) ◽

pp. 495-509 ◽

Cited By ~ 1

Author(s):

Long Chen ◽

Yat Sze Choy ◽

Tian Gang Wang ◽

Yan Kei Chiang

Keyword(s):

Fault Detection ◽

Background Noise ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

High Background ◽

Detection Systems ◽

Rail System ◽

Diagnosis Method ◽

Noise Ratio ◽

Rolling Noise

Fault detection systems are typically applied in the railway industry to examine the structural health status of the wheel/rail system. We herein propose a time-domain kurtosis beamforming technique using an array of microphones for the fault identification and localisation of the wheel/rail system under an environment with high background noise. As an acoustics-based noncontact diagnosis method, this technique overcomes the challenge of the contact between the sensors and examined structures, and it is more applicable for impulsive signals of broadband nature, such as impact noise generated from faults on the wheel surface. Moreover, the application of kurtosis enables the identification and localisation at low signal-to-noise ratio. Under such circumstance, the impulsive signals generated by faults were totally merged in rolling noise and background noise. Meanwhile, different types of faults on the wheels could be identified and localised by observing the kurtosis value on the beamforming sound map. The effectiveness of the proposed method to diagnose the type of wheel fault with low signal-to-noise ratio and moving source has been validated experimentally. This method may provide a useful tool for the routine maintenance of trains.

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