Acknowledgement
This work was supported by a grant from R&D program of the Korea Evaluation Institute of Industrial Technology (20014664).
References
- Hwang T. M., Youn I. H., Oh J. M., "Study on Text Analysis of the Liquefied Natural Gas Carriers Dock Specification for Development of the Ship Predictive Maintenance Model," Journal of the Korean Society of Marine Environment & Safety, Vol. 27, No. 1, pp. 60-66, 2021. https://doi.org/10.7837/kosomes.2021.27.1.060
- Youn I. H., Park J. K., Oh J. M., "A Study on the Concept of a Ship Predictive Maintenance Model Reflection Ship Operation Characteristics," Journal of the Korean Society of Marine Environment & Safety, Vol. 27, No. 1, pp. 53-59, 2021. https://doi.org/10.7837/kosomes.2021.27.1.053
- Hong C. W., "A Study on the Application of Predictive Maintenance Using Artificial Intelligence and Big Data," The Quarterly Journal of Defense Policy Studies, Vol. 38, No. 2, pp. 197-228, 2022. http://doi.rog/10.22883/jdps.2022.38.2.006
- Cheon K. M., Yang J. K., "Explainable AI Application for Machine Predictive Maintenance," Journal of Korean Society of Industrial and Systems Engineering, Vol. 44, No. 4, pp. 227-233, 2021. https://doi.org/10.11627/jksie.2021.44.4.227
- Lee K. H., Lee J. Y., Kim Y. M., "A Study on the Maintenance Data Analysis of Vehicle Parts of Yongin Light Rail and Condition-Based Prediction Maintenance," Journal of the Korea Society of Systems Engineering, Vol. 18. No. 1, pp. 1-13, 2022. https://doi.org/10.14248/JKOSSE.2022.18.1.001
- Lee J. D., Kim G. B., Song I. H., "A Study on the Predictive Maintenance of Smart Factory through ML-Based Analysis of Vibration Abnormal Signal," Jounal of The Korea Society of Information Technology Policy & Management (ITPM), Vol. 13, No. 6, pp. 2723-2728, 2021.
- Park C. S., Bae S. M., "A Study on the Predictive Maintenance of 5 Axis CNC Machine Tools for Cutting of Large Aircraft Parts," Journal of Korean Society of Industrial and Systems Engineering, Vol. 43, No. 4, pp. 161-167, 2020. https://doi.org/10.11627/jkise.2020.43.4.161
- Lee J. D., Kim H. S., Kim J. H., "A Study on AI-based Anomaly Detection and Defect Classification for Predictive Maintenance of Gearb," Jounal of The Korea Society of Information Technology Policy & Management (ITPM), Vol. 11, No. 6, pp. 1497-1502, 2019.
- Kim J. T., Seo Y. W., Lee S. S., Kim S. J., Kim Y. G., "A Proposal of Remaining Useful Life Prediction Model for Turbofan Engine based on k-Nearest Neighbor," Journal of Korea Academia-Industrial cooperation Society (JKAIS), Vol. 22, No. 4, pp. 611-620, 2021. https://doi.org/10.5762/KAIS.2021.22.4.611
- Kim J. D., Lee H. J., "A study on Predictive Model for Forecasting Anti-Aircraft Missile Spare Parts Demand Based on Machine Learning," Journal of the Korean Data And Information Science Sociaty, Vol. 30, No. 3, pp. 587-596, 2019. https://doi.org/10.7465/jkdi.2019.30.3.587
- S. Hochreiter, J. Schmidhuber, "Long Short-Term Memory," Neural Computation, Vol. 9, pp. 1735-1780, 1997. https://doi.org/10.1162/neco.1997.9.8.1735
- Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema, "Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network," IEEE Transactions on Machine Learning in Communications and Networking, Vol. 1, pp. 43-60, 2023. http://doi.org/10.1109/TMLCN.2023.3278232
- Xu Gao, Jianfeng Wang, Mingzheng Zhou, "The Research of Resource Allocation Method Based on GCN-LSTM in 5G Network," IEEE Communications Letters, Vol. 27, No. 3, pp. 926-930, 2023. http://doi.org/10.1109/LCOMM.2022.3224213
- Xianyun Wen, Weibang Li, "Time Series Prediction Based on LSTM-Attention-LSTM Model." IEEE Access, Vol. 11, pp. 48322-48331, 2023. http://doi.org/10.1109/ACCESS.2023.3276628