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Gibaek Lee

Researcher at Korea National University of Transportation

Publications -  90
Citations -  1322

Gibaek Lee is an academic researcher from Korea National University of Transportation. The author has contributed to research in topics: Chemistry & Fault (power engineering). The author has an hindex of 16, co-authored 74 publications receiving 917 citations. Previous affiliations of Gibaek Lee include Seoul National University.

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Multiple-Fault Diagnosis of the Tennessee Eastman Process Based on System Decomposition and Dynamic PLS

TL;DR: The hybrid fault diagnosis method based on a combination of the signed digraph and partial least-squares has the advantage of improving the diagnosis resolution, accuracy, and reliability.
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On the solution of population balance equations (PBE) with accurate front tracking methods in practical crystallization processes

TL;DR: WENO schemes for spatial discretization are firstly addressed in this study for the dynamic simulation of batch crystallization processes and are of practical use for solving complex PBEs owing to a short computational time and little limitation to use.
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Robust Recursive Principal Component Analysis Modeling for Adaptive Monitoring

TL;DR: A robust recursive principal component analysis (PCA) modeling procedure that aims to improve the monitoring performance by detecting and identifying process changes, removing disturbances, and updating the model to reflect the operating mode change is proposed.
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Diselenide-Bridged Carbon-Dot-Mediated Self-Healing, Conductive, and Adhesive Wireless Hydrogel Sensors for Label-Free Breast Cancer Detection.

TL;DR: Based on the combined self-healing, conductivity, and adhesiveness properties of the Gel-UPy/dsCD, this hydrogel exhibits promise for use in biomedical applications, particularly those that involve cancer detection, due to its selectivity and sensitivity under tumor conditions.
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Multiple-Fault Diagnosis Based on System Decomposition and Dynamic PLS

TL;DR: In this paper, a hybrid method of signed digraph and partial least squares is proposed for fault diagnosis of chemical processes, where a process is decomposed into subprocesses to allow for the reliable diagnosis of multiple faults.