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The influence of polygonal wheels on vehicle dynamic responses and condition monitoring measurement, are a focal point of research to ensure operation safety and improve service quality of high speed railway transportation. Wheel defects are commonly identified by the detection of wheel–rail (W/R) contact forces based on installing strain gauge on wheelsets or rails. Compared with strain gauge, PVDF piezoelectric sensor has the advantages of high sensitivity, wide frequency response, vast dynamic range, and perfect electromagnetic-immune property. Hence, a measure system to recognize wheel polygon based on W/R force measurement by PVDF strain sensors in Railroad network is built, which has long distance and high stability. On the basis of W/R contact forces derived from wheel polygon impacts, the measured PVDF strain sensor response is processed to generate an index that reflects the condition of wheel polygon. An automatic remote condition monitoring system is designed under GSM-R transmission lines. The preliminary experimental results showed that this system is suitable for complex electromagnetic environment and stable demands of high speed railways.
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Barke, D. W., & Chiu, W. K. (2005). A review of the effects of out-of-round wheels on track and vehicle components. Proceedings of the IMECHE, Part F: Journal of Rail and Rapid Transit, 219(3), 151–175.
Johansson, A., & Andersson, C. (2005). Out-of-round railway wheels—A study of wheel polygon through simulation of three-dimensional wheel–rail interaction and wear. Vehicle System Dynamics, 43(8), 539–559. CrossRef
Johansson, A. (2006). Out-of-round railway wheels—assessment of wheel tread irregularities in train traffic. Journal of Sound and Vibration, 293(3), 795–806. CrossRef
Meinke, P., & Meinke, S. (1999). Polygonalization of wheel treads caused by static and dynamic imbalances. Journal of Sound and Vibration, 227(5), 979–986. CrossRef
Johansson, A. (2011). Assessment of out-of-round of train wheels. Foreign Rolling Stock, 48(3), 40–46.
Morys, B. (1999). Enlargement of out-of-round wheel profiles on high speed trains. Journal of Sound and Vibration, 227(5), 965–978. CrossRef
Alemi, A., Corman, F., & Lodewijks, G. (2017). Condition monitoring approaches for the detection of railway wheel defects. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 231(8), 961–981. CrossRef
Hyde, P., Defossez, F., & Ulianov, C. (2016). Development and testing of an automatic remote condition monitoring system for train wheels. IET Intelligent Transport Systems, 10(1), 32–40. CrossRef
Kalay, S., Tajaddini, A., & Stone, D. H. (1992). Detecting wheel tread surface anomalies. In Rail Transportation–1992 (pp. 165–174). New York: American Society of Mechanical Engineers.
Brizuela, J., Fritsch, C., & Ibanez, A. (2011). Railway wheel-flat detection and measurement by ultrasound. Transportation Research Part C: Emerging Technologies, 19(6), 975–984. CrossRef
Barke, D., & Chiu, W. K. (2005). Structural health monitoring in the railway industry: A review. Structural Health Monitoring, 4(1), 81–93. CrossRef
- Recognition of Wheel Polygon Based on W/R Force Measurement by Piezoelectric Sensors in GSM-R Network
- Springer US
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