Application of morphological filter and HHT transform in wheel rail fault diagnosis
Aiming at complex structure,high cost and poor real-time performance of the existing wheel-rail fault diagnosis device,a wheel-rail fault diagnosis method based on transmission box vibration acceleration re-sponse is proposed.Firstly,the transmission box vibration signal is denoised by morphological filter,and then the processed signal is decomposed by ensemble empirical mode decomposition(EEMD)to obtain several intrin-sic mode functions(IMF),and then the false components in the IMF components are eliminated according to the relative magnitude of the energy entropy increment,and the Hilbert-Huang transform(HHT)is used to obtain the Hilbert spectrum by the remaining effective components.The results show that there is a significant difference between the Hilbert spectrum of transmission box acceleration under normal conditions and different types of wheel-rail faults,so the Hilbert spectrum can be used to effectively diagnose wheel-rail faults.
万方数据
维普
