首页|A model-based method for wheel out-of-roundness detection considering rail flexibility and multi-wheel interaction
A model-based method for wheel out-of-roundness detection considering rail flexibility and multi-wheel interaction
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NETL
NSTL
Elsevier
Periodic excitations caused by wheel out-of-roundness (OOR) significantly affect vehicles, track structures, and passenger ride quality. Although numerous studies have investigated the forma- tion mechanisms and mitigation measures for wheel OOR, existing studies remain insufficient to fully prevent its occurrence. Consequently, monitoring wheel OOR has become increasingly crucial. To improve the efficiency and accuracy of OOR detection, this study proposes a model-based method that considers rail flexibility and multi-wheel interaction. The model is validated using field test data, and its performance is further verified through simulation cases and practical application. The results demonstrate the method's ability to reconstruct wheel roughness, effectively detecting both its magnitude and phase. Compared with traditional methods, incorporation of rail flexibility into the transfer function significantly enhances the accuracy of wheel roughness estimation using axle box acceleration (ABA), particularly during wheel-rail coupled system resonance. For wheel OOR dominated by frequencies below 100 Hz, both single- and multi-wheel coupling models provide reliable estimates. However, at higher dominant frequencies, multi-wheel coupling effects must be considered to address localized rail bending. Moreover, utilizing ABA from multiple wheels effectively eliminates multi-wheel interaction effects, significantly improving the accuracy of wheel OOR detection.
NETL
NSTL
Elsevier
