Title |
An Electrical Installation Failure Signal Detection using Time-Energy Analysis |
Authors |
지승욱(Jee S. W.) ; 이춘하(Lee C. H.) ; 김충년(Kim Ch. N.) ; 이광식(Lee K. S.) ; 심광열(Sim K. Y.) |
Keywords |
FFT ; Time-Energy Analysis ; Tracking Breakdown ; Tracking Tester |
Abstract |
Most of electric accidents are happened in the place where activities are frequent by common people who has low electric knowledge. Also, accidents are increased in the low voltage electric equipment. So, it is increased to spread the dispersion or non-utility power generation system. It means that ordinary times observation is required for electric equipments by common people. This paper is studied for the diagnosis method of electric equipment that common people can diagnose easily Voltage is generally and exactly measured in the electric and electronic field. We suggest new analysis tools using only electric voltage. It is called the Time-Energy analysis. The Time-Energy analysis is as following First, divide measured voltage waves into same parts, Second, conducted FFT(Fast Fourier Transform) transform for each divided period, Finally, each results are reassembled after graphic treatment. We compared Time-Energy analysis with discharge form by tracking tester. As the result, tracking discharge processes distinguished clearly. |