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- W2550992485 abstract "The paper presents the analysis and predictive model of infrared (IR) tempera- ture with difierent emissivity and object to camera distance settings efiect for obtaining accurate assessment of electrical equipment temperature using IR thermographic inspection. In recent years, IR thermography technology has gained more popularity than other fault diagnosis sys- tem of electrical equipments due to its non-contact and non-destructive properties. Abnormal behaviour of electrical equipment is occurred when current is diverted from its intended path due to overloading, load imbalance, corrosion and contact problems etc.. As a result internal heat will begin to rise continuously until eventual failure. IR inspection is such a fast, reliable inspection system without interrupting the running operation of power system where fault diag- nosis is performed through the analysis of thermal image captured by IR camera. Usually the emissivity values of camera are pre-deflned by the thermal camera manufacturer. But emissivity value can be changed by object surface properties, angle of view and object to camera distance. So, incorrect emissivity settings can cause erroneous diagnosis of equipment and also interrupt actual abnormalities classiflcations to take automatic recommended actions. For conducting ex- periments, at flrst both efiects were determined from the comparative evaluation of temperature measurement between thermocouple thermometer and infrared camera capturing pictures at dif- ferent emissivities at a speciflc object to camera distance where the actual one implies the closest value to one another. For indirect measurement of IR temperature, the relationship between IR and thermocouple temperature for any given emissivity and distance was established. Fur- thermore prediction model of IR temperature and measurement error were also developed using response surface methodology. Experimental results conducted on 320 thermal images show that error of temperature measurement can be more than 15% for incorrect emissivity and distance settings. The comparison between predicted and experimental values describes that prediction model approach is appropriate." @default.
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- W2550992485 date "2012-01-01" @default.
- W2550992485 modified "2023-09-27" @default.
- W2550992485 title "Analysis and Prediction of Temperature of Electrical Equipment for Infrared Diagnosis Considering Emissivity and Object to Camera Distance Setting Efiect" @default.
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