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Article

Railway Polygonized Wheel Detection Based on Numerical Time-Frequency Analysis of Axle-Box Acceleration

1
Key Laboratory of Traffic Safety and Control of Hebei Province, School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China
2
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
3
Structure Health Monitoring and Control Institute, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(5), 1613; https://doi.org/10.3390/app10051613
Submission received: 28 January 2020 / Revised: 19 February 2020 / Accepted: 21 February 2020 / Published: 28 February 2020

Abstract

The increasing need for repairs of polygonized wheels on high-speed railways in China is becoming problematic. At high speeds, polygonized wheels cause abnormal vibrations at the wheel-rail interface that can be detected via axle-box accelerations. To investigate the quantitative relationship between axle-box acceleration and wheel polygonization in both the time and frequency domains and under high-speed conditions, a dynamics model was developed to simulate the vehicle-track coupling system and that considers both wheel and track flexibility. The calculated axle-box accelerations were analyzed by using the improved ensemble empirical mode decomposition and Wigner-Ville distribution time-frequency method. The numerical results show that the maximum axle-box accelerations and their frequencies are quantitatively related to the harmonic order and out-of-roundness amplitude of polygonized wheels. In addition, measuring the axle-box acceleration enables both the detection of wheel polygonization and the identification of the degree of damage.
Keywords: high-speed railway; wheel polygon; axle-box acceleration; time-frequency characterization; detection high-speed railway; wheel polygon; axle-box acceleration; time-frequency characterization; detection

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MDPI and ACS Style

Song, Y.; Liang, L.; Du, Y.; Sun, B. Railway Polygonized Wheel Detection Based on Numerical Time-Frequency Analysis of Axle-Box Acceleration. Appl. Sci. 2020, 10, 1613. https://doi.org/10.3390/app10051613

AMA Style

Song Y, Liang L, Du Y, Sun B. Railway Polygonized Wheel Detection Based on Numerical Time-Frequency Analysis of Axle-Box Acceleration. Applied Sciences. 2020; 10(5):1613. https://doi.org/10.3390/app10051613

Chicago/Turabian Style

Song, Ying, Lei Liang, Yanliang Du, and Baochen Sun. 2020. "Railway Polygonized Wheel Detection Based on Numerical Time-Frequency Analysis of Axle-Box Acceleration" Applied Sciences 10, no. 5: 1613. https://doi.org/10.3390/app10051613

APA Style

Song, Y., Liang, L., Du, Y., & Sun, B. (2020). Railway Polygonized Wheel Detection Based on Numerical Time-Frequency Analysis of Axle-Box Acceleration. Applied Sciences, 10(5), 1613. https://doi.org/10.3390/app10051613

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