Reliable understanding of the operating status of electrical equipment is the foundation for ensuring safe nav-igation of ships.Therefore,a method for detecting abnormal status of ship electrical equipment based on thermal infrared im-ages is proposed.This method obtains imaging of ship electrical equipment based on infrared imaging technology and ob-tains its thermal infrared image results,and calculate the probability density function of electrical equipment temperature to describe the temperature distribution characteristics of electrical equipment;Input the calculated result of the probability density function into a width learning algorithm with incremental learning to complete the detection of different abnormal states of ship electrical equipment.The test results show that using temperature probability density as the basis for detecting abnormal electrical equipment status can better distinguish between normal heat release and fault heating of electrical equip-ment.The test results of AUC are all above 0.94,identify varying degrees of abnormal conditions during the operation of electrical equipment.
关键词
热红外图像/船舶电气设备/状态异常检测/概率密度函数/温度分布特征/宽度学习
Key words
thermal infrared imaging/ship electrical equipment/abnormal state detection/probability density func-tion/temperature distribution characteristics/width learning
维普
万方数据