2021 Volume 141 Issue 1 Pages 70-77
Overheating due to the screw slackening of a circuit breaker, an electromagnetic switch, a terminal, or a plug-receptacle in a distribution panel or an electric apparatus is one of the main causes of fire accidents originating from electrical equipment in industrial and domestic environments. In this study, we propose a novel screw slackening sensing method for a commercially available 100V blanch circuit breaker. Attention is paid to the conducted emission spectrum obtained during discharge, which occasionally occurs in a small gap between the slackened connected conductors. An investigation of the screw slackening is conducted based on a convolutional neural network. Thus, the proposed approach serves as a potentially effective method for the prevention of fire accidents due to screw slackening.
The transactions of the Institute of Electrical Engineers of Japan.C
The transactions of the Institute of Electrical Engineers of Japan.B
The transactions of the Institute of Electrical Engineers of Japan.A
The Journal of the Institute of Electrical Engineers of Japan