中国机械工程 ›› 2012, Vol. 23 ›› Issue (16): 1957-1961.

• 信息技术 • 上一篇    下一篇

基于等角度采样的列车频带变化类故障诊断方法研究

王靖1,2;陈特放1;黄采伦2   

  1. 1.中南大学,长沙,410075
    2.湖南科技大学机械设备健康维护湖南省重点实验室,湘潭,411201
  • 出版日期:2012-08-25 发布日期:2017-05-27
  • 基金资助:
    国家高技术研究发展计划(863计划)资助项目(2006AA11Z230)
    National High-tech R&D Program of China (863 Program) (No. 2006AA11Z230)

Research on Diagnosis Method to Train's Vibration Frequency Band-varying Fault Based on Uniform Angle Sampling

Wang Jing1,2;Chen Tefang1;Huang Cailun2   


  1. 1.Central South University,Changsha,410075
    2.Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment,Hunan University of Science and Technology,Xiangtan,Hunan,411201
  • Online:2012-08-25 Published:2017-05-27
  • Supported by:
    National High-tech R&D Program of China (863 Program) (No. 2006AA11Z230)

摘要:

列车轮对部件故障常会受到频带变化因素的影响,如采用一般旋转机械故障监测方法,因谱线整体迁移模糊,可能导致误诊或漏诊。针对这一问题,研究了各影响因素与故障特征之间的动态响应,基于故障机理建立了频带变化类故障的动力学模型,分析了影响因素下的故障特征。提出了基于等角度采样的监测诊断方法,结合列车轮对组件实际情况制定了监测诊断方案,并通过实例应用对该诊断方法的准确性进行了验证。

关键词: 频谱变化类故障, 等角度采样, 系统建模, 故障诊断

Abstract:

Wheelset of  train's faults affected by factors such as speed fluctuation,and the vibration signal will act as an overall spectrum band migration.Using the general fault diagnosis method of rotating machinery lead to misdiagnosis or missed diagnosis due  to  spectrum-line migration.To solve this problem,the dynamic response between such various factors and the fault characteristics was researched in-depth.The whole system coupling dynamic model of the fault characteristics and  frequency band-varying factors was established based on fault mechanism analysis.The relationship between the working state parameters and fault characteristics was revealed.The uniform angle sampling method and characteristics spectral analysis method were established.In the end,the train's  frequency band-varying fault identification methods were summarized,and the accuracy was verified through the practical applications.

Key words: frequency band-varying fault, uniform angle sampling, system modeling, fault diagnosis

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