High-Order Frequency-Weighted Energy Operator with Applications to Train Axle-Box Bearing Fault Diagnosis

doi:10.7652/xjtuxb201912007

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High-Order Frequency-Weighted Energy Operator with Applications to Train Axle-Box Bearing Fault Diagnosis

更新时间：2025-07-09

- High-Order Frequency-Weighted Energy Operator with Applications to Train Axle-Box Bearing Fault Diagnosis
- Vol. 53, Issue 12, Pages: 46-56(2019)
- 作者机构：
  
  西南交通大学牵引动力国家重点实验室,成都,610031
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201912007
  CLC： TH165.3
- Online First：10 December 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
High-Order Frequency-Weighted Energy Operator with Applications to Train Axle-Box Bearing Fault Diagnosis[J]. 2019, 53(12): 46-56.
DOI：

High-Order Frequency-Weighted Energy Operator with Applications to Train Axle-Box Bearing Fault Diagnosis[J]. 2019, 53(12): 46-56. DOI： 10.7652/xjtuxb201912007.

摘要

针对轴箱轴承振动信号中微弱故障冲击难以识别的问题

提出了高阶频率加权能量算子的信号解调方法

进而完成轴箱轴承的故障诊断。频率加权能量算子(FWEO)通过在解调时加入信号中瞬时频率的权重

从而提高了干扰情况下解调的鲁棒性

但是当干扰信号能量较大时

FWEO依然无法有效解调轴承的故障冲击信息。因此

在FWEO基础上通过高阶的导数运算

形成了高阶频率加权能量算子(HFWEO)。HFWEO通过高阶导数运算提高了瞬时频率的权重

从而有效提高了HFWEO对干扰信号的抑制作用; 使用相关峭度准则确定合适的阶次

保证HFWEO在提高抗干扰性的同时又引入较少的高频噪声

从而实现更可靠的轴箱轴承故障诊断。使用所提出的解调方法对仿真信号与轴箱轴承振动信号进行解调

并与传统解调方法进行对比

结果表明

提出的HFWEO能量算子对干扰具有很好的抑制作用

可以在较低信号干扰比情况下具有良好的解调效果

同时所提的相关峭度准则可以准确地确定最佳的HFWEO阶次

在复杂干扰情况下依然可以有效提取轴承故障冲击

克服了传统解调方法在干扰严重时的局限性

抑制了干扰的影响

对信号中故障冲击识别更加有效

为更准确、快速判断轴承故障类型提供了可靠保证。

Abstract

To identify the weak fault impulses from axle-box bearing vibration signals

high-order frequency-weighted energy operator(FWEO)is utili-ed to demodulate the fault signals and diagnose the fault. The FWEO improves demodulation robustness in interference environment by introducing the weight of the instantaneous frequency. The FWEO

however

is invalid to extract fault related information under heavy interference

therefore the high-order frequency-weighted energy operator(HFWEO)is adopted based on FWEO and higher-order derivative operation. This strategy improves the demodulation robustness by enhancing the weight of instantaneous frequency with high-order derivative operation; and the correlation kurtosis criterion is utili-ed to determine the appropriate order to guarantee that less noise is introduced with increasing order

and achieve reliable axle-box bearing fault diagnosis. The simulated and test signals are analy-ed by the proposed strategy and compared with the other tradition

关键词

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references

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