兰州理工大学学报 ›› 2024, Vol. 50 ›› Issue (3): 51-57.

• 机械工程与动力工程 • 上一篇    下一篇

基于ICEEMDAN和Hilbert包络谱的滚动轴承故障诊断研究

张斌*1, 程珩2, 孟倩1   

  1. 1.山西工程职业学院 机械工程系, 山西 太原 030009;
    2.太原理工大学 机械与运载工程学院, 山西 太原 030024
  • 收稿日期:2023-07-27 出版日期:2024-06-28 发布日期:2024-07-02
  • 通讯作者: 张 斌(1984-),男,山西平陆人,硕士,讲师.Email:zhbin.815@163.com
  • 基金资助:
    山西省高等学校科技创新项目(2022L709)

Research on fault diagnosis of rolling bearing based on ICEEMDAN and Hilbert envelope spectrum

ZHANG Bin1, CHENG Hang2, MENG Qian1   

  1. 1. Department of Mechanical Engineering, Shanxi Engineering Vocational College, Taiyuan 030009, China;
    2. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
  • Received:2023-07-27 Online:2024-06-28 Published:2024-07-02

摘要: 针对滚动轴承故障振动信号因属于非平稳特征信号而导致故障特征频率难以提取的问题,提出了基于改进自适应噪声完备集合经验模态分解(ICEEMDAN)和Hilbert包络谱的滚动轴承故障诊断方法.首先,利用ICEEMDAN对故障信号进行模态分解,产生一系列的固有模态分量(IMF);然后,找出与原信号相关度较高的模态分量,作该模态分量的Hilbert包络谱图,并提取滚动轴承的故障特征频率.最终,通过对滚动轴承外圈和内圈的故障信号进行分析,并将结果与经验模态分解(EMD)的结果比较,证明了经过ICEEMDAN分解后Hilbert包络谱图能够明显反映轴承故障的特征频率,该方法可有效诊断滚动轴承的外圈和内圈故障.

关键词: 滚动轴承, 故障诊断, ICEEMDAN, Hilbert包络谱

Abstract: In addressing the challenge of extracting fault characteristic frequencies from non-stationary vibration signals in rolling bearings, a fault diagnosis method of rolling bearing was proposed based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) and Hilbert envelope spectrum method. First of all, the ICEEMDAN was used to decompose the fault signals into a series of Intrinsic Mode Function (IMF). Subsequently, the valid IMFs with high correlation to the original signal were extracted, and their corresponding Hilbert envelope spectrum was generated to extract the fault characteristics frequency of the rolling bearing. Through signal analysis of the outer and inner ring faults of rolling bearings and comparison with Empirical Mode Decomposition (EMD), it is demonstrated that the amplitude of the envelope spectrum after the decomposition based on the ICEEMDAN method can clearly reflect the characteristic frequency of bearing faults. The results affirm the effectiveness of this method in diagnosing the outer and inner ring faults of rolling bearings.

Key words: rolling bearing, fault diagnosis, ICEEMDAN, Hilbert envelope spectrum

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