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http://dx.doi.org/10.22156/CS4SMB.2017.7.6.201

A Prediction Scheme for Power Apparatus using Artificial Neural Networks  

Ki, Tae-Seok (Department of Software Engineering, Chungbuk University)
Lee, Sang-Ho (Department of Software Engineering, Chungbuk University)
Publication Information
Journal of Convergence for Information Technology / v.7, no.6, 2017 , pp. 201-207 More about this Journal
Abstract
Failure of the power apparatus causes many inconveniences and problems due to power outage in all places using power such as industry and home. The main causes of faults in the Power Apparatus are aging, natural disasters such as typhoons and earthquakes, and animals. At present, the long high temperature status is monitored only by the assumption that a fault occurs when the temperature of the power apparatus becomes higher. Therefore, it is difficult to cope with the failure of the power apparatus at the right time. In this paper, we propose a power apparatus monitoring system as an efficient countermeasure against general faults except for faults caused by sudden natural disasters. The proposed monitoring system monitors the power apparatus in real time by attaching a thermal sensor, collects the monitored data, and predicts the failure using the accumulated information through learning using the artificial neural network. Through the learning and experimentation of artificial neural network, it is shown that the proposed method is efficient.
Keywords
Power apparatus; Failure prediction; Artificial neural network; Realtime monitoring; Thermal sensor;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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