期刊:2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)日期:2021-10-29卷期号:19: 514-517被引量:4
标识
DOI:10.1109/ecice52819.2021.9645626
摘要
Power infrared diagnosis is used for the diagnosis of various faults of all electrical equipment, monitoring the status of power equipment in real-time, quickly, and accurately. It also has been widely used in the production and operation of the power industry. We studied the relative temperature difference discrimination method in the infrared diagnosis application specification for charged equipment. The equipment requires that the test environment temperature is not less than 0°C, and the infrared temperature measurement diagnosis error at low ambient temperature is large, which causes the equipment defect level to be misjudged. Based on the physical model of infrared thermal image temperature measurement, it is deduced that the relative temperature difference decreases with the decrease of the ambient temperature, and the relative temperature difference discrimination method of infrared detection at low temperature is improved and revised. After verification by the on-site infrared thermal imaging temperature measurement test, the improved low-temperature infrared detection of relative temperature difference discrimination method can accurately determine the equipment failure level and effectively avoid the occurrence of sudden accidents during the evolution of the equipment heating failure.