Infrared Detection of Overheat Fault of Electric Machinery Equipment Based on Feature Fusion
Due to the sharp rise of power resource demand,while the power system improves the transportation of power resources,the overheating problem often occurs in electrical machinery equipment,which is easy to lead to the occurrence of power failures.Therefore,an infrared detection method for overheating failures of electrical machinery equipment based on feature fusion is pro-posed.The infrared image of power machinery equipment is converted to HIS color space,and the median filtering method is used to denoise the infrared image,so as to reduce the impact of noise on the fault detection effect.Extract the reflection and incidence components of the infrared image,obtain the relevant details of the image,and combine the infrared image information with the help of information fusion to complete the infrared image enhancement.The gradient method is used to locate the edge of the im-age,and the overheating fault detection of electrical machinery equipment is realized by dividing the high temperature region in the infrared image.The experimental results show that the proposed method has low infrared detection error,short detection time and high robustness.
Feature FusionElectrical Machinery and EquipmentOverheating FaultInfrared DetectionHIS Color SpaceGradient Method
NETL
NSTL
万方数据
维普
