电子学报 ›› 2021, Vol. 49 ›› Issue (4): 750-759.DOI: 10.12263/DZXB.20200201

• 学术论文 • 上一篇    下一篇

高阶对称差分解析能量算子在微弱轴承故障信号提取中的应用

徐元博, 江祥奎, 李龙   

  1. 西安邮电大学自动化学院, 陕西西安 710121
  • 收稿日期:2020-02-25 修回日期:2020-11-30 出版日期:2021-04-25
    • 作者简介:
    • 徐元博 男,1986年生于陕西宝鸡,博士,现为西安邮电大学自动化学院讲师.研究方向为振动信号处理及机械设备故障诊断.E-mail:xuyuanbo@xupt.edu.cn
    • 基金资助:
    • 陕西省科技厅重点研发计划一般项目 (No.2017NY-129); 陕西省教育厅专项计划项目 (No.17JK0712)

A Higher-Order Symmetric Difference Analytic Energy Operator and its Applications to Detect Weak Bearing Fault Signal

XU Yuan-bo, JIANG Xiang-kui, LI Long   

  1. School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi 710121, China
  • Received:2020-02-25 Revised:2020-11-30 Online:2021-04-25 Published:2021-04-25

摘要: 针对对称差分解析能量算子在高幅值振动干扰频率影响下性能较差的不足,在对称差分解析能量算子的基础上提出了一种改进的解析能量算子.该能量算子改用高阶对称差分序列替代对称差分序列以达到提高信号干扰比的目的,从而提高在高幅值振动干扰频率存在下提取故障特征的能力.此外,为了防止能量出现负值,该改进的能量算子采用了绝对值对其能量表达式进行加权处理.通过模拟实验证明了该方法在抗噪和抗振动干扰方面的优越性,及其它的非负特性.最后将其应用于真实轴承故障数据,发现该方法可以在恶劣工况下提取出故障特征频率.

关键词: 轴承故障特征提取, 高阶对称差分, 解析能量算子, 非负性

Abstract: Considering that the inadequacy of the inferior performance of the symmetric difference analytic energy operator (SD-AEO) technique in the presence of vibration interferences with higher amplitudes,an improved analytic energy operator (AEO) based on SD-AEO is proposed in this work.This proposed energy measure takes advantage of the higher-order symmetric difference to substitute the symmetric difference for the sake of boosting the signal-to-interference ratio (SIR),which can enhance the ability to detect the weak fault signal in the presence of vibration interferences with larger magnitude.Furthermore,the energy transformation of this proposed energy operator is weighted by absolute value to prevent the negative values in the transformed signal.Under the simulated tests,the superiority of the immunity to intensive noise and interferences as well as the non-negative property is demonstrated.Finally,the proposed energy detector is applied to the real-world data measured from the defective bearings,and it is found that this proposed fault detection tool can successfully identify the weak fault signatures under a severe working condition.

Key words: bearing fault signature detection, higher-order symmetric difference, analytic energy operator, non-negative property

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