A Study on Temperature Analysis for Smart Electrical Power Devices

서지정보

· 발행기관 : 한국정보처리학회
· 수록지 정보 : 정보처리학회논문지. 컴퓨터 및 통신시스템 / 6권 / 8호 / 353 ~ 358페이지
· 저자명 : Ragu Vasanth, 이명배, 김영현, 박명혜, 이승배, 박장우, 조용윤, 신창선

초록

An electrical power utility, like an electrical power pole, includes various kinds of sensors for smart services. Temperature data is considered one of the important factors that can influence the smart operations of this utility. This study suggests a method for temperature data analysis for deciding the status of the smart electrical power utilities by using Kalman Filter and Ensemble Model. The suggested approach separates the temperature data according to the different positions of the temperature sensors of a utility, then uses Kalman Filter and Ensemble Model to analyse the characteristics of the temperature variation. With detailed processes, method explains the variation between an external temperature factor like weather temperature data and the sensed temperature data, and then, analysis the temperature data from each position of electrical power utilities. In this process, the suggested method uses Kalman Filter to remove error data and the ensemble model to find out mean value of every hour of electrical data. The result and discussion of temperature analysis were described clearly with the analysed results of electrical data. Finally, we were able to check the working condition of the power devices and the range of the temperature data foe each devices, which may help to indicate any causalities with respect to the devices in the utility pole.

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