辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2018, Vol. 38 ›› Issue (03): 89-92.DOI: 10.3969/j.issn.1672-6952.2018.03.017

• 信息与控制工程 • 上一篇    下一篇

基于声发射波形流信号的滚动轴承故障双谱分析及诊断

陈小龙1周俊鹏2张颖1樊瑞筱3   

  1. (1.东北石油大学,黑龙江 大庆 163318;2.大庆油田工程建设有限公司,黑龙江 大庆 163453;3.大庆炼化公司,黑龙江 大庆 163411)
  • 收稿日期:2017-11-12 修回日期:2017-12-20 出版日期:2018-06-25 发布日期:2018-07-11
  • 通讯作者: (张颖(1972-),男,博士,教授,从事过程设备安全检测及完整性评价方面的研究;E-mail:aezy163@163.com
  • 作者简介:(陈小龙(1993-),男,硕士研究生,从事声发射检测与结构完整性评价方面的研究;E-mail:cxl9309@qq.com
  • 基金资助:
    (东北石油大学研究生创新科研项目(YJSCX2015-027NEPU)

Fault Test and Diagnosis of Rolling Bearing Based on  Acoustic Emission Waveform Streaming Signals

Chen Xiaolong1Zhou Junpeng2Zhang Ying1Fan Ruixiao3   

  1. (1.Northeast Petroleum University,Daqing Heilongjiang 163318,China; 2.Daqing Oilfield Engineering Construction Co., Ltd., Daqing Heilongjiang 163453,China;3.Daqing Refining and Chemical Company, Daqing Heilongjiang 163411,China)
  • Received:2017-11-12 Revised:2017-12-20 Published:2018-06-25 Online:2018-07-11

摘要: 使用声发射波形流测试技术,采集滚动轴承正常状态及外圈故障、内圈故障和滚动体故障时的声发射波形流信号,分析声发射波形流信号与故障频率特征值间的关系。运用包络谱分析方法对滚动轴承声发射波形流信号进行分析,提取运转过程中信号峰值频率,通过与滚动轴承不同故障固有特征频率的理论值对比,发现具有很好的一致性。通过对滚动轴承声发射波形流信号的包络分析,可实现滚动轴承故障的早期诊断。

关键词: 包络谱分析, 声发射波形流, 滚动轴承, 故障诊断

Abstract: Acoustic emission waveform streaming testing technology was adopted to collect acoustic emission waveform streaming signals of rolling bearings under normal conditions and in the case of the failure of outer race, inner race and roller. The relations between frequency characteristics and the signals of acoustic emission waveform streaming were analyzed. Envelope spectrum analysis was adopted to acquire the peak frequency of acoustic emission waveform streaming signals, comparing with the theoretical value of the inherent characteristic frequency of the rolling bearings, under the condition of different faults. The experimental data show that envelope analysis can be carried out for the study of acoustic emission waveform streaming signals of rolling bearing with different kinds of faults and the early diagnosis of rolling bearings with different faults can be realized.

Key words: Envelope analysis, Acoustic emission waveform streaming, Rolling bearing, Fault diagnosis

引用本文

陈小龙,周俊鹏,张颖,樊瑞筱. 基于声发射波形流信号的滚动轴承故障双谱分析及诊断[J]. 辽宁石油化工大学学报, 2018, 38(03): 89-92.

Chen Xiaolong,Zhou Junpeng,Zhang Ying,Fan Ruixiao. Fault Test and Diagnosis of Rolling Bearing Based on  Acoustic Emission Waveform Streaming Signals[J]. Journal of Liaoning Petrochemical University, 2018, 38(03): 89-92.

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链接本文: https://journal.lnpu.edu.cn/CN/10.3969/j.issn.1672-6952.2018.03.017

               https://journal.lnpu.edu.cn/CN/Y2018/V38/I03/89