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- W2376200983 abstract "Wheel-flat is one of the major hidden dangers,which can cause traffic accident of trains,so fully understanding the energy distribution of the wheel-flat signal is of great significance to detecting the wheel-flat accurately.Based on the characters of short duration and abrupt change of wheel-flat signal,the multiresolution analysis method of wavelet and wavelet energy spectrum are applied to analyze the wheel-flat signal.By comparing the energy densities of wheel-flat signals in different scales,the relationship between the value of energy and different frequency bands is acquired,and then a conclusion is drawn that the energies of wheel-flat signals are mainly distributed in the frequency bands below 2 500 Hz,so just the wheel-flat signals below 2 500 Hz need to be analyzed in the actual wheel-flat detection algorithm.The detection verifies the validity of this analysis." @default.
- W2376200983 created "2016-06-24" @default.
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- W2376200983 date "2009-01-01" @default.
- W2376200983 modified "2023-09-23" @default.
- W2376200983 title "The energy analysis of wheel-flat signal based on wavelet transform" @default.
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