Ki-Yong Oh

Assistant Professor

Hanyang University

South Korea

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Dr. Ki-Yong Oh is an Assistant Professor at Hanyang University in South Korea. His research areas focus on multiphysics modeling, deep learning applications in engineering, and anomaly detection in industrial systems. Recent publications include studies on lithium-ion battery thermal runaway models and digital twin approaches for electric motor systems.

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2022

Collaborators (2)

Joo-Hyung Kim

Professor

Inha University

SOUTH KOREA

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Seung Hwan Lee

Hanyang University

SOUTH KOREA

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Ki-Yong Oh

Research Interests

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About

Articles (26)

A fast yet accurate multiphysics thermal runaway model for a cylindrical lithium-ion battery module

Comprehensive outdoor UWB dataset: Static and dynamic measurements in LOS/NLOS environments

Hybrid explainable anomaly detection framework of gas turbines for feature selection and fault localization

Iterative Semi-auto-labeling Method for High-Frequency Induction Brazing

Digital twin model of a permanent magnet synchronous motor via a multiphysics-informed deep operator network

Physics-informed deep learning framework for explainable remaining useful life prediction

A Novel Fire Detection and Suppression System for the Surveillance of a Wind Turbine Nacelle

Adaptive bearing fault diagnosis using reference frequency and modified scalogram

Control-oriented multiphysics model of a lithium-ion battery for thermal runaway estimation under operational and abuse conditions

High-fidelity multiphysics model of a permanent magnet synchronous motor for fault data generation

Prediction of thermal runaway for a lithium-ion battery through multiphysics-informed DeepONet with virtual data

Multiphysics-informed thermal runaway model for estimating the pressure evolution induced by the gas formation in a lithium-ion battery

Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements

RoMP-transformer: Rotational bounding box with multi-level feature pyramid transformer for object detection

Autonomous flight strategy of an unmanned aerial vehicle with multimodal information for autonomous inspection of overhead transmission facilities

Enhancing Structural Crack Detection through a Multiscale Multilevel Mask Deep Convolutional Neural Network and Line Similarity Index

A New Deep Learning Framework for Imbalance Detection of a Rotating Shaft

Anomaly Detection of Underground Transmission-Line through Multiscale Mask DCNN and Image Strengthening

A Study on the Finite Element Model of a Permanent Magnet Synchronous Motor for Fault Diagnosis

Long-term monitoring method for tunnel structure transformation using a 3D light detection and ranging equipped in a mobile robot

Thermal monitoring of live-line power transmission lines with an infrared camera mounted on an unmanned aerial vehicle

Physics-informed Markov chain model to identify degradation pathways of lithium-ion cells

Crack inspection in tunnel structures by fusing information from a 3D light detection and ranging and pan-tilt-zoom camera system

Novel active management of compressive pressure on a lithium-ion battery using a phase transition actuator

Versatile multiphysics model for thermal runaway estimation of a lithium‐ion battery

Bilinear tuned mass damper for spar-type floating wind turbines

Collaborators (2)

Joo-Hyung Kim

Seung Hwan Lee

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