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Automatic detection of flats on the rolling stock wheels

Madejski J.

Journal of Achievements in Materials and Manufacturing Engineering

2006

Vol. 16, nr 1-2

160--163

Purpose: The goal of this work was increasing safety of tram, metro and trams operation. Design/methodology/approach: The accelerometers were fixed directly to the rail to provide the system with the best defect signal quality. Analysis of the acoustic signals collected using microphones proved that too much of the background noise limited their usefulness. Findings: It has been proven that all wheel geometry defects can be reliably detected and classified according to the experimentally established defect categories. Research limitations/implications: Exact measurements of the wheel defect geometry may be possible only after collecting huge signals time series along with the wheel measurements taken with other methods to reveal the relationships between them. This goal is hard to achieve, as the system performs already very well, and such experiments would be very costly and time consuming. Practical implications: Integrated wheel geometrical data collected from the wheel ovality, flat spots, and build-up detection system along with the wheel profile information have eliminated all derailments due to faulty wheel geometry. Originality/value: The system presented is the first wheel monitoring application in Poland, its unique feature is that it can be used at low speeds, like those allowed in depots.