电气设备红外热像图谱分类编码与故障树研究

Research of Infrared Thermal Image Classification Coding and Fault Tree of Electrical Equipment

变电设备热故障分析和定位的关键在于分类存储和管理红外热像图谱。在分析研究变电设备热故障分类的基础上,设计了一种易于拓展的热故障编码方法,该方法利用故障树进行精确检索及热故障精确定位,能有效解决红外热图像分类存储管理及热故障智能诊断中的分类问题。实际应用验证了该编码方法的有效性和实用性。

The infrared thermal image classification storage and management is the key point for the thermal failure analysis and positioning of the substation equipment.Based on the thermal failure analysis of the substation equipment,an easily expanded thermal fault coding method is designed in this article,which can support accurate retrieval and thermal failure locating with fault tree.Therefore,the classification problem of the infrared thermal image storage management and intelligent fault diagnosis can be solved effectively.The efficiency and applicability of the coding method is verified by practical application.