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해양 플랫폼 공정 디지털 트윈 기술 개발 동향  

Seo, Yu-Taek (서울대학교)
Lee, Na-Yeong (서울대학교)
Park, Myeong-Cheol (대우조선해양)
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Bulletin of the Society of Naval Architects of Korea / v.58, no.1, 2021 , pp. 25-31 More about this Journal
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1 Changsong Lee et al., [Fault Detection in LDPE Process using Machine Learning Techniques] Korean Chemical Engineering Research, 58(2), 224-229. (2020).
2 Saha, Bhaskar, Goebel, Kai. [Model Adaptation for Prognostics in a Particle Filtering Framework] (2011).
3 Bevilacqua, M. et al. [Digital Twin Reference Model Development to Prevent Operators' Risk in Process Plants] , Sustainability (2020).
4 M. Orchard et al. [Data Mining in Systems Health Management: Detection, Diagnostics, and Prognostics] (2011).
5 Malhotra, Pankaj et al., [Long short term memory networks for anomaly detection in time series] Proceedings. Vol. 89. Presses universitaires de Louvain, (2015).
6 N. Daroogheh et al. [Prognosis and Health Monitoring of Nonlinear Systems Using a Hybrid Scheme Through Integration of PFs and Neural Networks], IEEE Transactions on Systems, Man, and Cybernetics: Systems (2017).
7 Zhang, C et al. [A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data], Proceedings of the AAAI Conference on Artificial Intelligence (2019).
8 Malhotra, P. et al, [LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection](2016).