@article{ART003212309},
author={Lee Bong Kyu},
title={AI-based Prediction of Electrical Faults in Control Boards},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2025},
volume={21},
number={2},
pages={71-77}
TY - JOUR
AU - Lee Bong Kyu
TI - AI-based Prediction of Electrical Faults in Control Boards
JO - Journal of Software Assessment and Valuation
PY - 2025
VL - 21
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 71
EP - 77
SN - 2092-8114
AB - Smart factories operate various self-moving smart equipment for efficient logistics. Electrical failures occurring in the control boards that control these smart equipment can cause malfunctions or fires.
Carbonization is a useful indicator for identifying electrical failures occurring in the control boards. In this study, we propose an artificial intelligence-based carbonization inspection system that predicts whether electrical failures occur in internal control boards that control smart equipment. The proposed system is an ensemble model of MMLSTM type consisting of LSTM, CNN, and MLP. Using LSTM and CNN, different types of data are combined into a single feature vector. The combined feature vector is fed into the MLP to predict the carbonization degree of the control board. The usefulness of the proposed system is proven through experiments.
KW - Smart Factory;Control Board;Carbonization;Feature Map;Multimodal
DO -
UR -
ER -
Lee Bong Kyu. (2025). AI-based Prediction of Electrical Faults in Control Boards. Journal of Software Assessment and Valuation, 21(2), 71-77.
Lee Bong Kyu. 2025, "AI-based Prediction of Electrical Faults in Control Boards", Journal of Software Assessment and Valuation, vol.21, no.2 pp.71-77.
Lee Bong Kyu "AI-based Prediction of Electrical Faults in Control Boards" Journal of Software Assessment and Valuation 21.2 pp.71-77 (2025) : 71.
Lee Bong Kyu. AI-based Prediction of Electrical Faults in Control Boards. 2025; 21(2), 71-77.
Lee Bong Kyu. "AI-based Prediction of Electrical Faults in Control Boards" Journal of Software Assessment and Valuation 21, no.2 (2025) : 71-77.
Lee Bong Kyu. AI-based Prediction of Electrical Faults in Control Boards. Journal of Software Assessment and Valuation, 21(2), 71-77.
Lee Bong Kyu. AI-based Prediction of Electrical Faults in Control Boards. Journal of Software Assessment and Valuation. 2025; 21(2) 71-77.
Lee Bong Kyu. AI-based Prediction of Electrical Faults in Control Boards. 2025; 21(2), 71-77.
Lee Bong Kyu. "AI-based Prediction of Electrical Faults in Control Boards" Journal of Software Assessment and Valuation 21, no.2 (2025) : 71-77.
