• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (2): 73-90.doi: 10.3901/JME.260038

• 仪器科学与技术 • 上一篇    

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多频谱融合评价方法及高铁转向架轴承故障诊断方法

张兴武1,2, 孙浩瑜1,2, 李妍琦1,2, 刘一龙1,2, 陈雪峰1,2   

  1. 1. 西安交通大学航空动力系统与等离子体技术全国重点实验室 西安 710049;
    2. 西安交通大学机械工程学院 西安 710049
  • 收稿日期:2024-12-10 修回日期:2025-08-26 发布日期:2026-03-02
  • 作者简介:张兴武,男, 1984 年出生,博士,教授,博士研究生导师。主要研究方向为机械故障诊断与振动主动控制方法。E-mail: xwzhang@mail.xjtu.edu.cn;刘一龙(通信作者),男, 1988 年出生,博士,副研究员。主要研究方向为机械动力学、故障诊断和健康管理。E-mail: yilong@xjtu.edu.cn
  • 基金资助:
    国家自然科学基金(52175114)、陕西省高层次人才特殊支持计划“青年拔尖人才”和中央高校基本科研业务费专项资金资助项目。

Multi-spectrum Fusion Evaluation Method and Fault Diagnosis Method for High-speed Rail Bogie Bearings

ZHANG Xingwu1,2, SUN Haoyu1,2, LI Yanqi1,2, LIU Yilong1,2, CHEN Xuefeng1,2   

  1. 1. National Key Lab of Aerospace Power System and Plasma Technology, Xi'an Jiaotong University, Xi'an 710049;
    2. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049
  • Received:2024-12-10 Revised:2025-08-26 Published:2026-03-02

摘要: 转向架是高铁的重要动力传输单元,转向架轴承作为转向架中的承力元件,长期承受交变载荷,是极易发生故障的部位。现有用于滚动轴承故障诊断的频域分析方法对适用条件有严格的要求,如快速谱峭度方法在分析具有较大干扰信息或是背景噪声的信号时,极易导致方法的失效,大大限制了相关方法在实际工程中的广泛应用。针对上述问题,提出多频谱融合评价的故障诊断与决策方法。构建一种频域分析方法的加权评价准则,从诊断效果、稳定性以及计算时间等三个方面进行构建,实现算法工程适配性的量化。提出一种频谱评价准则,实现对频域分析方法诊断效果的评价。针对高铁运营中的数据积累与完备的两个阶段,分别通过频谱特征降维融合以及最优化Fisher判别比进行频谱评价赋权,以获得具有最好诊断效果的融合频谱。通过数据采集试验对方法进行了有效性验证,表明该方法具有较好的工程适用性及鲁棒性。

关键词: 高铁, 转向架轴承, 频谱评价, 频域分析方法

Abstract: The rail bogie is recognized as an important power transmission unit in high-speed trains, and the bogie bearing, serving as a load-bearing element within it, is subjected to prolonged alternating loads and is highly prone to failure. Existing frequency domain analysis methods for rolling bearing fault diagnosis are limited by strict applicability conditions. For example, the fast kurtogram method often fails when analyzing signals contaminated by interference or excessive background noise, significantly limiting the widespread practical application of those methods. To address these limitations, a fault diagnosis and decision-making method based on multi-spectrum fusion evaluation is developed. A weighted evaluation criterion is constructed for frequency domain analysis methods, considering three aspects-diagnostic effect, stability, and calculation time-to quantify their engineering suitability. Furthermore, a spectrum evaluation criterion is established to assess the diagnostic effectiveness of frequency domain analysis methods. To accommodate the distinct requirements of data accumulation and completion phases in high-speed rail operation, the proposed spectrum evaluation criterion incorporates downscaled spectral feature fusion and an optimized Fisher's discriminant ratio, respectively. This facilitates the selection of the fusion spectrum yielding optimal diagnostic performance. The validity of the method is confirmed through data collection experiments. The results demonstrate its good engineering applicability and robustness.

Key words: high-speed railway, bogie bearing, spectrum evaluation, frequency domain analysis method

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