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Utilizing rolling noise for rail surface defects detection on wayside rail track in Malaysia

Rolling noise is generally categorized as an unwanted noise that affects passengers’ comfort. However, the noise generated from the wheel/rail interaction can be seen as a silver lining where it provides opportunities for rail surface defects detection. In this study, a preliminary field investigati...

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Bibliographic Details
Main Authors: Zakri, Z., Sanusi, S. H., Azmir, N. A., Zaman, I., Yahya, M. N., Subramaniyan, S. K., Lajis, M. A., Ngali, M. Z., Hamid, N. A. Abdul, Rahman, F. S. Abdul, Sukor, F.
Format: Conference Proceeding
Language:English
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Summary:Rolling noise is generally categorized as an unwanted noise that affects passengers’ comfort. However, the noise generated from the wheel/rail interaction can be seen as a silver lining where it provides opportunities for rail surface defects detection. In this study, a preliminary field investigation was performed on one of KTMB wayside rail tracks by utilizing rolling noise which was measured from a moving track vehicle running along the track to obtain the noise characteristic response of certain rail conditions (free from defects and with defects). Measurement was conducted under a slow constant rolling speed of 10 km/h due to short travel distance (400m) as well as to reduce the effect of unnecessary noise source coming from the wind and engine. From the results, it was found that different rail condition has a different peak frequency where the peak frequency of surface without defects is 1250 Hz while the peak frequency of surface with defects is 1600 Hz. It was also observed that the geometrical properties and type of surface defects significantly affect the level of noise amplitude (dBA) and frequency range even though their peak frequency were identical. In a nutshell, this study provides proof of concept where rail surface defects could be detected from the noise characteristic response generated by the wheel/rail interaction. In addition, it also provides an alternative approach for rail surface defects detection that is currently dominated by the Ultrasonic method.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0121415