Study on Wheel Polygonal Wear of Metro Trains Caused by Frictional Self-Excited Oscillation

Kang, X.; Chen, G. X.; Zhu, Qi‐Zhi; Ren, Wenjuan; Dong, Bingjie

doi:10.1080/10402004.2021.1970868

Cited by 13 publications

(1 citation statement)

References 30 publications

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“…Therefore, Tao et al [11] and Yang et al [12] applied field test and simulation methods simultaneously to study the polygon formation mechanism. Among other research, the polygonal wheel also occurs as a result of the wheelset self-excited vibration [13,14], unstable vibration of the brake disc [15], wheel flat failure [16] and other problems. Moreover, the polygonal wheel strongly affects the dynamic response of the wheel-rail interaction [17,18], especially during the curve, the impact on wheel-rail force and vehicle vibration response grown rapidly [19].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Nonstationary Representations of a Railway Vehicle Considering Wheel Polygonalization under Variable Speed Conditions

Zhao

Yang

et al. 2023

Preprint

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Wheel Polygonalization is one of the most common failures of the wheelset, which can directly affect the safety and comfort of railway vehicle operation. In the actual condition, traction/braking torque continuously acts on the polygonal wheel fault can result in the modulation of its vibration representation, and then influence the effect of the feature exaction of the polygonal wheel faults. Considering this phenomenon, this study aims to clarify the forming mechanism of fault signals under variable speed conditions to improve the accuracy of feature extraction and ensure the safe operation of vehicles. This paper derived the Lagrangian equations with the dissipation function of a railway vehicle model with polygonal wheel fault under traction/braking conditions. After that, the modulation representation under constant speed, linear variable speeds, and nonlinear variable speeds are investigated, respectively. Finally, the vibration evolution of polygonal faults under different working conditions is visualized using statistical features. Compared with the constant speed, the curve in the time domain has more high-frequency fluctuations under variable conditions, and the phase modulation causes the half-wave asymmetry of the waveform. In the time-frequency domain, the continuous input of torque increases the harmonics frequency and side frequency response of fault response and excites the resonance frequency of the vehicle system. The dynamic evolution of fault statistical characteristics is positively correlated with speed and fault severity, and the fluctuation is sharper under braking conditions. The results can provide the theoretical support for feature extraction, interpretable features, and intelligent diagnosis of polygon faults.

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