Fault Diagnosis and Status Monitoring of Rolling Bearings Using Infrared Thermal Imaging
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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。Abstract: Infrared thermal imaging technology captures the external radiation intensity of an object, and the obtained thermal image includes not only the outline of the object but also the surface temperature field distribution, which can be visually characterized. Infrared thermal imaging can be combined with image processing technologies to enhance rolling bearing state discrimination. Here, we first introduce the basic principle of infrared thermal imaging technology. Second, different technical methods used in different aspects of rolling bearing condition monitoring and fault diagnosis using infrared thermal imaging technology are summarized and discussed. Finally, we summarize and analyze the advantages, shortcomings, and limitations of the different methods used in infrared thermal imaging fault diagnosis and condition monitoring of rolling bearings. The development prospects of infrared thermal imaging fault diagnosis and condition monitoring of rolling bearings are also summarized and discussed.
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