@article{ART002398225},
author={Ki-Hwan Kim and Su-Mi Tyu and Min-Kyu KIm and Youngjin Kang and HyunHo Kim and Lee, HoonJae and Jin-Heung Lee},
title={Detects abnormal behavior using motor power consumption},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={10},
pages={65-72},
doi={10.9708/jksci.2018.23.10.065}
TY - JOUR
AU - Ki-Hwan Kim
AU - Su-Mi Tyu
AU - Min-Kyu KIm
AU - Youngjin Kang
AU - HyunHo Kim
AU - Lee, HoonJae
AU - Jin-Heung Lee
TI - Detects abnormal behavior using motor power consumption
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 10
PB - The Korean Society Of Computer And Information
SP - 65
EP - 72
SN - 1598-849X
AB - In this paper, we used LSTM as a method to detect abnormal behavior of motors. We fixed the high layout size to 1 and changed the range of the input values and the neural network structure to see what change in power consumption prediction. Now, as the fourth industrial revolution era, smart factories are attracting attention. All the physical actions of smart factories are done using motors.
Continuous monitoring of motor malfunctions helps to detect malfunctions and efficient operation.
However, it is difficult to acquire the power consumption constantly due to the influence of the noise.
We have experimented with a simple experimental environment, a method of predicting similarity to input data by adjusting the range of the input data or by changing the neural network structure.
KW - Motor;AI;Prediction;Intrusion Detection;Smart Factory
DO - 10.9708/jksci.2018.23.10.065
ER -
Ki-Hwan Kim, Su-Mi Tyu, Min-Kyu KIm, Youngjin Kang, HyunHo Kim, Lee, HoonJae and Jin-Heung Lee. (2018). Detects abnormal behavior using motor power consumption. Journal of The Korea Society of Computer and Information, 23(10), 65-72.
Ki-Hwan Kim, Su-Mi Tyu, Min-Kyu KIm, Youngjin Kang, HyunHo Kim, Lee, HoonJae and Jin-Heung Lee. 2018, "Detects abnormal behavior using motor power consumption", Journal of The Korea Society of Computer and Information, vol.23, no.10 pp.65-72. Available from: doi:10.9708/jksci.2018.23.10.065
Ki-Hwan Kim, Su-Mi Tyu, Min-Kyu KIm, Youngjin Kang, HyunHo Kim, Lee, HoonJae, Jin-Heung Lee "Detects abnormal behavior using motor power consumption" Journal of The Korea Society of Computer and Information 23.10 pp.65-72 (2018) : 65.
Ki-Hwan Kim, Su-Mi Tyu, Min-Kyu KIm, Youngjin Kang, HyunHo Kim, Lee, HoonJae, Jin-Heung Lee. Detects abnormal behavior using motor power consumption. 2018; 23(10), 65-72. Available from: doi:10.9708/jksci.2018.23.10.065
Ki-Hwan Kim, Su-Mi Tyu, Min-Kyu KIm, Youngjin Kang, HyunHo Kim, Lee, HoonJae and Jin-Heung Lee. "Detects abnormal behavior using motor power consumption" Journal of The Korea Society of Computer and Information 23, no.10 (2018) : 65-72.doi: 10.9708/jksci.2018.23.10.065
Ki-Hwan Kim; Su-Mi Tyu; Min-Kyu KIm; Youngjin Kang; HyunHo Kim; Lee, HoonJae; Jin-Heung Lee. Detects abnormal behavior using motor power consumption. Journal of The Korea Society of Computer and Information, 23(10), 65-72. doi: 10.9708/jksci.2018.23.10.065
Ki-Hwan Kim; Su-Mi Tyu; Min-Kyu KIm; Youngjin Kang; HyunHo Kim; Lee, HoonJae; Jin-Heung Lee. Detects abnormal behavior using motor power consumption. Journal of The Korea Society of Computer and Information. 2018; 23(10) 65-72. doi: 10.9708/jksci.2018.23.10.065
Ki-Hwan Kim, Su-Mi Tyu, Min-Kyu KIm, Youngjin Kang, HyunHo Kim, Lee, HoonJae, Jin-Heung Lee. Detects abnormal behavior using motor power consumption. 2018; 23(10), 65-72. Available from: doi:10.9708/jksci.2018.23.10.065
Ki-Hwan Kim, Su-Mi Tyu, Min-Kyu KIm, Youngjin Kang, HyunHo Kim, Lee, HoonJae and Jin-Heung Lee. "Detects abnormal behavior using motor power consumption" Journal of The Korea Society of Computer and Information 23, no.10 (2018) : 65-72.doi: 10.9708/jksci.2018.23.10.065