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基于红外热成像技术的旋转机械故障诊断方法综述

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography.

作者信息

Wang Rongcai, Zhan Xianbiao, Bai Huajun, Dong Enzhi, Cheng Zhonghua, Jia Xisheng

机构信息

Shijiazhuang Campus of Army Engineering University of PLA, Shijiazhuang 050003, China.

出版信息

Micromachines (Basel). 2022 Sep 30;13(10):1644. doi: 10.3390/mi13101644.

Abstract

At present, rotating machinery is widely used in all walks of life and has become the key equipment in many production processes. It is of great significance to strengthen the condition monitoring of rotating machinery, timely diagnose and eliminate faults to ensure the safe and efficient operation of rotating machinery and improve the economic benefits of enterprises. When the state of a rotating machine deteriorates, the thermal energy that is much more than its normal operation will be generated due to the increase in the friction between the components or other factors. Therefore, using the infrared thermal camera to collect the infrared thermal images of rotating machinery and judge the health status of rotating machinery by observing the temperature distribution in the thermal images is often more rapid and effective than other technologies. Nevertheless, after decades of development, the research achievements of infrared thermography (IRT) and its application in various industrial fields are numerous and complex, and there is a lack of systematic sorting and summary of the achievements in this field. Accordingly, this paper summarizes the development and application of IRT as a non-contact and non-invasive tool for equipment condition monitoring and fault diagnosis, and introduces the basic theory of IRT, image processing technology and fault diagnosis methods of rotating machinery in detail. Finally, the review is summarized and some future potential topics are proposed, which will make the subject easier for beginners and non-experts to understand.

摘要

目前,旋转机械在各行各业中广泛应用,已成为许多生产过程中的关键设备。加强旋转机械的状态监测,及时诊断并排除故障,对于确保旋转机械的安全高效运行、提高企业经济效益具有重要意义。当旋转机械的状态恶化时,由于部件间摩擦增大或其他因素,会产生比正常运行时多得多的热能。因此,利用红外热像仪采集旋转机械的红外热图像,并通过观察热图像中的温度分布来判断旋转机械的健康状态,往往比其他技术更快速有效。然而,经过几十年的发展,红外热成像技术(IRT)的研究成果及其在各个工业领域的应用众多且繁杂,该领域的成果缺乏系统的梳理和总结。据此,本文总结了IRT作为一种用于设备状态监测和故障诊断的非接触、非侵入式工具的发展及应用情况,并详细介绍了IRT的基本理论、图像处理技术以及旋转机械的故障诊断方法。最后,对综述进行总结并提出一些未来可能的研究方向,这将使该主题更易于初学者和非专业人士理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95a2/9611809/ddbf67010222/micromachines-13-01644-g001.jpg

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