Combined with influence caused by the relationship between axle and wheel vibration of train and the track excitation, explored the feasibility of using periodic shock response to gain wheel tread flat of a railway vehicle; Through the analysis of High-speed rail vibration model of axle box for the work, a new lifting scheme named improved adaptive morphological gradient lifting wavelet (IAMGLW) is presented, which is Suitable for the vertical vibration signal of axle-box; The results showed that the proposed method can effectively deal with high speed railway axle box vibration signals. Compared to adaptive morphological gradient lifting wavelet (AMGLW), IAMGLW is more suitable for analyzing high-speed rail vibration data of axle box. In the same time, the new algorithm only involve add and subtract and comparison operations, which is easy to calculate.So it can be used to on-line monitoring and diagnose
邓文豪1，金炜东1. 一种基于自适应形态提升小波的车轮踏面擦伤识别新方法[J]. 振动与冲击, 2015, 34(21): 45-48.
DENG Wen-hao1 JIN Wei-dong1. A new adaptive morphological lifting algorithm for detecting irregularity of wheel tread. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(21): 45-48.
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