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滚动轴承红外热成像故障诊断与状态监测

王建鑫 郭佑民 杨君

王建鑫, 郭佑民, 杨君. 滚动轴承红外热成像故障诊断与状态监测[J]. 红外技术, 2023, 45(10): 1045-1051.
引用本文: 王建鑫, 郭佑民, 杨君. 滚动轴承红外热成像故障诊断与状态监测[J]. 红外技术, 2023, 45(10): 1045-1051.
WANG Jianxin, GUO Youmin, YANG Jun. Fault Diagnosis and Status Monitoring of Rolling Bearings Using Infrared Thermal Imaging[J]. Infrared Technology , 2023, 45(10): 1045-1051.
Citation: WANG Jianxin, GUO Youmin, YANG Jun. Fault Diagnosis and Status Monitoring of Rolling Bearings Using Infrared Thermal Imaging[J]. Infrared Technology , 2023, 45(10): 1045-1051.

滚动轴承红外热成像故障诊断与状态监测

详细信息
    作者简介:

    王建鑫(1996-),男,硕士研究生,主要研究方向为轴箱轴承故障诊断与状态检测。E-mail: 2692261920@qq.com

  • 中图分类号: TN974

Fault Diagnosis and Status Monitoring of Rolling Bearings Using Infrared Thermal Imaging

  • 摘要: 红外热成像技术根据物体对外辐射强度进行具体成像,所得热图像不仅包括物体轮廓而且对于物体表面温度场分布可进行直观表征,利用该技术进行滚动轴承状态判别可结合热图像特征丰富以及图像处理技术将滚动轴承状态判别转换到一个全新的技术视角。本文首先对红外热成像技术基本原理进行简单介绍;其次,主要对国内外利用红外热成像技术进行滚动轴承状态监测与故障诊断的各个环节所采用的多种技术方法进行总结论述,最后对各技术环节所采用的多种方法的优、缺点、以及局限性进行对比性的总结分析,对滚动轴承红外热成像故障诊断与状态监测发展前景进行展望。
  • 图  1  光谱图

    Figure  1.  Spectrogram

    图  2  滚动轴承红外热图像

    Figure  2.  Rolling bearing infrared thermal images

    图  3  滚动轴承红外热成像状态判别

    Figure  3.  Rolling bearing infrared thermal imaging status discrimination

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  • 收稿日期:  2023-05-27
  • 修回日期:  2023-10-06
  • 刊出日期:  2023-10-20

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