@article{ART003212309},
author={Bongkyu Lee},
title={AI-based Prediction of Electrical Faults in Control Boards},
journal={ Journal of Software Forensics},
issn={3092-541X},
year={2025},
volume={21},
number={2},
pages={71-77},
doi={10.29056/jsav.2025.06.08}
TY - JOUR
AU - Bongkyu Lee
TI - AI-based Prediction of Electrical Faults in Control Boards
JO - Journal of Software Forensics
PY - 2025
VL - 21
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 71
EP - 77
SN - 3092-541X
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 - 10.29056/jsav.2025.06.08
ER -
Bongkyu Lee. (2025). AI-based Prediction of Electrical Faults in Control Boards. Journal of Software Forensics, 21(2), 71-77.
Bongkyu Lee. 2025, "AI-based Prediction of Electrical Faults in Control Boards", Journal of Software Forensics, vol.21, no.2 pp.71-77. Available from: doi:10.29056/jsav.2025.06.08
Bongkyu Lee "AI-based Prediction of Electrical Faults in Control Boards" Journal of Software Forensics 21.2 pp.71-77 (2025) : 71.
Bongkyu Lee. AI-based Prediction of Electrical Faults in Control Boards. 2025; 21(2), 71-77. Available from: doi:10.29056/jsav.2025.06.08
Bongkyu Lee. "AI-based Prediction of Electrical Faults in Control Boards" Journal of Software Forensics 21, no.2 (2025) : 71-77.doi: 10.29056/jsav.2025.06.08
Bongkyu Lee. AI-based Prediction of Electrical Faults in Control Boards. Journal of Software Forensics, 21(2), 71-77. doi: 10.29056/jsav.2025.06.08
Bongkyu Lee. AI-based Prediction of Electrical Faults in Control Boards. Journal of Software Forensics. 2025; 21(2) 71-77. doi: 10.29056/jsav.2025.06.08
Bongkyu Lee. AI-based Prediction of Electrical Faults in Control Boards. 2025; 21(2), 71-77. Available from: doi:10.29056/jsav.2025.06.08
Bongkyu Lee. "AI-based Prediction of Electrical Faults in Control Boards" Journal of Software Forensics 21, no.2 (2025) : 71-77.doi: 10.29056/jsav.2025.06.08
