Fault diagnosis algorithm for the axle box bearing of walking unit in EMU based on HHT and resonance demodulation method
LI Jiarui
YUE Jianhai
Abstract：Aming at the feature of the vibration signal of axle box of walking part in EMU (Electric Multiple Unit),which is unsmoothing,non-linear and the background noise with widefrequency range,this paper designs an improved algorithm based on HHT.The algorithm comprehensively combines the advances of HHT and resonance demodulation,of which HHT is able to smooth the signal effectively and resonance demodulation method could enhance the signal and noise radio.The background noise component of the bearing during the operation process of EMU is analyzed to conduct a simulation of fault signal.After this,the fault analysis is compared respectively using the HHT,resonance demodulation and the improve designed algorithm.The results show that HHT and resonance demodulation cannot extract fault information effectively.However,the designed algorithm is able to extract fault information effectively which can also analyze the fault type.This algorithm is appropriate to analyze the vibration signal char acteristics of the walking part of EMU and offer a new thinking for fault diagnosis of EMU.
Keywords：vehicle engineeringEMUearly fault diagnosisHHTresonance demodulation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 85-90 )