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http://dx.doi.org/10.14400/JDC.2018.16.7.223

Study on the method of safety diagnosis of electrical equipments using fuzzy algorithm  

Lee, Jae-Cheol (Division of Information and Communication Engineering, Sungkyul University)
Publication Information
Journal of Digital Convergence / v.16, no.7, 2018 , pp. 223-229 More about this Journal
Abstract
Recently, the necessity of safety diagnosis of electrical devices has been increasing as the fire caused by electric devices has increased rapidly. This study is concerned with the safety diagnosis of electric equipment using intelligent Fuzzy technology. It is used as a diagnostic input for the multiple electrical safety factors such as the use current, cumulative use time, deterioration and arc characteristics inherent to the equipment. In order to extract these information in real time, a device composed of various sensor circuits, DSP signal processing, and communication circuit is implemented. The fuzzy logic algorithm using the Gaussian function for each information is designed and compiled to be implemented on a small DSP board. The fuzzy logic receives the four diagnostic information, deduces it by the fuzzy engine, and outputs the overall safety status of the device as a 100-step analog fuzzy value familiar to human sensibility. By experiments of a device that combines hardware and fuzzy algorithm implemented in this study, it is verified that it can be implemented in a small DSP board with human-friendly fuzzy value, diagnosing real-time safety conditions during operation of electric equipment. In the future, we expect to be able to study more intelligent diagnostic systems based on artificial intelligent with AI dedicated Micom.
Keywords
Fuzzy; Gaussian; Safety diagnosis; Arc; FFT;
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Times Cited By KSCI : 5  (Citation Analysis)
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