红外热像仪在机械设备热故障诊断中的应用
摘 要
随着现代工业的快速发展，机械设备的运行状态监测与故障诊断成为保障生产安全和提高经济效益的关键环节。红外热像仪作为一种非接触式检测设备，能够实时获取设备表面温度分布信息，在热故障诊断领域展现出独特优势。本研究旨在探讨红外热像仪在机械设备热故障诊断中的应用效果及其可行性。通过对比传统诊断方法，分析了红外热成像技术在检测精度、效率及安全性方面的优越性。采用实验验证的方式，选取典型机械设备为研究对象，利用红外热像仪对其运行过程中的温度场进行动态监测，结合图像处理算法对采集到的数据进行分析处理，建立了基于温度特征的故障识别模型。结果表明，该方法能够准确识别多种类型的热故障，如轴承过热、电机绕组异常等，且具有较高的灵敏度和可靠性。
关键词：红外热像仪 热故障诊断 机械设备
Abstract
With the rapid development of modern industry, the operation condition monitoring and fault diagnosis of mechanical equipment have become the key link to ensure production safety and improve economic benefits. As a non-contact detection equipment, the infrared thermal imager can obtain the surface temperature distribution information of the equipment in real time, showing its unique advantages in the field of thermal fault diagnosis. This study aims to investigate the application effect and feasibility of infrared thermal imager in thermal fault diagnosis of mechanical equipment. It analyzes the advantages of infrared thermal imaging technology in detection accuracy, efficiency and safety. In the way of experimental verification, the typical mechanical equipment was selected as the research ob ject, the infrared thermal imager was used to conduct dynamic monitoring of the temperature field during its operation, the collected data was analyzed and processed combined with the image processing algorithm, and the fault identification model based on temperature characteristics was established. The results show that the method can accurately identify many types of thermal faults, such as bearing overheating, motor winding abnormality, and has high sensitivity and reliability.
Keyword:Infrared Thermography Thermal Fault Diagnosis Mechanical Equipment
目 录
1绪论 1
1.1红外热像仪应用背景与意义 1
1.2国内外研究现状综述 1
1.3本文研究方法概述 2
2红外热像仪检测原理及技术基础 2
2.1红外辐射基本理论 2
2.2热像仪工作原理 2
2.3热图像处理技术 3
2.4热故障诊断依据 3
3红外热像仪在机械设备中的应用实例 4
3.1旋转设备热故障诊断 4
3.2传动系统温度异常分析 4
3.3电气设备过热检测 5
3.4关键部件温度场监测 6
4红外热像仪诊断技术的优化与发展 6
4.1提高检测精度的方法 6
4.2数据分析与故障预测 7
4.3红外检测与其他技术融合 7
4.4未来发展方向展望 8
结论 8
参考文献 10
致谢 11
摘 要
随着现代工业的快速发展，机械设备的运行状态监测与故障诊断成为保障生产安全和提高经济效益的关键环节。红外热像仪作为一种非接触式检测设备，能够实时获取设备表面温度分布信息，在热故障诊断领域展现出独特优势。本研究旨在探讨红外热像仪在机械设备热故障诊断中的应用效果及其可行性。通过对比传统诊断方法，分析了红外热成像技术在检测精度、效率及安全性方面的优越性。采用实验验证的方式，选取典型机械设备为研究对象，利用红外热像仪对其运行过程中的温度场进行动态监测，结合图像处理算法对采集到的数据进行分析处理，建立了基于温度特征的故障识别模型。结果表明，该方法能够准确识别多种类型的热故障，如轴承过热、电机绕组异常等，且具有较高的灵敏度和可靠性。
关键词：红外热像仪 热故障诊断 机械设备
Abstract
With the rapid development of modern industry, the operation condition monitoring and fault diagnosis of mechanical equipment have become the key link to ensure production safety and improve economic benefits. As a non-contact detection equipment, the infrared thermal imager can obtain the surface temperature distribution information of the equipment in real time, showing its unique advantages in the field of thermal fault diagnosis. This study aims to investigate the application effect and feasibility of infrared thermal imager in thermal fault diagnosis of mechanical equipment. It analyzes the advantages of infrared thermal imaging technology in detection accuracy, efficiency and safety. In the way of experimental verification, the typical mechanical equipment was selected as the research ob ject, the infrared thermal imager was used to conduct dynamic monitoring of the temperature field during its operation, the collected data was analyzed and processed combined with the image processing algorithm, and the fault identification model based on temperature characteristics was established. The results show that the method can accurately identify many types of thermal faults, such as bearing overheating, motor winding abnormality, and has high sensitivity and reliability.
Keyword:Infrared Thermography Thermal Fault Diagnosis Mechanical Equipment
目 录
1绪论 1
1.1红外热像仪应用背景与意义 1
1.2国内外研究现状综述 1
1.3本文研究方法概述 2
2红外热像仪检测原理及技术基础 2
2.1红外辐射基本理论 2
2.2热像仪工作原理 2
2.3热图像处理技术 3
2.4热故障诊断依据 3
3红外热像仪在机械设备中的应用实例 4
3.1旋转设备热故障诊断 4
3.2传动系统温度异常分析 4
3.3电气设备过热检测 5
3.4关键部件温度场监测 6
4红外热像仪诊断技术的优化与发展 6
4.1提高检测精度的方法 6
4.2数据分析与故障预测 7
4.3红外检测与其他技术融合 7
4.4未来发展方向展望 8
结论 8
参考文献 10
致谢 11
