北京交通大学学报2017，Vol.41Issue(4)：85-90,6.DOI:10.11860/j.issn.1673-0291.2017.04.012
基于HHT及共振解调方法的动车组走行部轴箱轴承故障诊断算法
Fault diagnosis algorithm for the axle box bearing of walking unit in EMU based on HHT and resonance demodulation method
摘要
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.关键词
车辆工程/动车组/早期故障诊断/希尔伯特-黄变换/共振解调Key words
vehicle engineering/EMU/early fault diagnosis/HHT/resonance demodulation分类
交通工程引用本文复制引用
李佳睿,岳建海..基于HHT及共振解调方法的动车组走行部轴箱轴承故障诊断算法[J].北京交通大学学报,2017,41(4):85-90,6.基金项目
中国铁路总公司科技研究开发计划课题(M15D00230)Science and Technology Research and Development Program of China Railway Corporation(M15D00230) （M15D00230）
