摘要
轴箱轴承作为高速列车走行部中关键部件,它的故障监测诊断对于列车安全稳定运行至关重要。轴箱轴承在承受车体垂向载荷时,也受到轮轨激扰的影响。为在轮轨激扰下依然可以有效提取出轴承故障冲击信息,文中在频率加权能量算子(FWEO)的基础上提出了高阶频率加权能量算子(HFWEO)信号解调算法,HFWEO通过增大瞬时频率的权重,提高了算法的抗干扰性。同时利用包络谱熵确定HF⁃WEO算法的阶数,避免引入高频噪声。通过仿真信号以及试验信号进行验证,结果表明,相对希尔伯特变换(HT)、Teager能量算子,文中提出的算法在轮轨激扰下依然能够有效地提取轴箱轴承故障冲击。
Axle box bearing is a key component in the running section of high-speed train.Its fault monitoring and diagnosis is very im⁃portant for the safe and stable operation of the train.Axle box bearings are subject to the vertical load of the car body and are also affect⁃ed by wheel/rail disturbances.In order to effectively extract bearing fault shock information under wheel-rail excitation,this paper pro⁃poses a high-order frequency weighted energy operator(HFWEO)signal demodulation algorithm based on the frequency weighted ener⁃gy operator(FWEO).The weight of large instantaneous frequency improves the anti-interference performance of the algorithm.At the same time,the envelope spectral entropy is used to determine the order of the HFWEO algorithm to avoid introducing high-frequency noise.The test signals are verified through simulation signals and test signals.The results show that compared with the Hilbert trans⁃form(HT)and Teager energy operator,the algorithm proposed in this paper can still effectively extract axle box bearing faults under wheel/rail excitation.
作者
伍川辉
郭辉
尹纪磊
刘泽潮
WU Chuanhui;GUO Hui;YIN Jilei;LIU Zechao(Southwest Jiaotong University,Chengdu 610031 Sichuan,China;Shijiazhuang Tiedao University,Shijiazhuang 050043 Hebei,China)
出处
《铁道机车车辆》
北大核心
2021年第6期105-110,共6页
Railway Locomotive & Car
关键词
轴箱轴承
轮对冲击
故障诊断
高阶频率能量解调算子
axle-box bearing
wheelset impact
fault diagnosis
high order frequency-weighted energy operator
