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Condition-based maintenance of wind turbine structures: A state-of-the-art review File

Oh, So Young , Joung, Chanwoo , Lee, Seonghwan , Shim, Yoon-Bo , Lee, Dahun , Cho, Gyu-Eun , Jang, Juhyeong , Lee, In Yong , Park, Young-Bin

Article Issue Date2024-10 View5

Condition-based Multiple Load Monitoring Technique for Fiber-reinforced Wind Turbine Blade

Oh, So Young , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-05-19 View10

Damage Index for Structural Health Monitoring of Sandwich Composites Using Electromechanical Behavior

Jang, Juhyeong , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-04-19 View13

Experimental and Deep Learning Approaches to Predict Mechanical Behaviors of Recycled Carbon Fiber-Reinforced Thermoplastic Composites

Shim, Yoon-Bo , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-05-10 View12

Health indicators for sandwich composite structures using superposition of discriminant analysis

Jang, Juhyeong , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-05-19 View7

In-depth Damage Identification of CFRP using electrical resistance change ratio with machine learning

Lee, In Yong , Oh, So Young , Park, Young-Bin

Conference Paper Issue Date2023-11-09 View3

In-depth Damage Index System for Fiber-reinforced Polymers via Multiresolution Decomposition

Oh, So Young , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-11-08 View16

Machine learning aided design of smart, self-sensing fiber-reinforced plastics File File

Roh, Hyung Doh , Lee, Dahun , Lee, In Yong , Park, Young-Bin

Article Issue Date2021-10 View14

Mechanical Behavior Prediction of Recycled Fiber-reinforced Composites Based on Image Analysis and Deep Learning

Lee, In Yong , Oh, So Young , Park, Young-Bin

Conference Paper Issue Date2023-11-02 View10

Novel structural health monitoring method for CFRPs using electrical resistance based probabilistic sensing cloud File

Lee, In Yong , Roh, Hyung Doh , Park, Young-Bin

Article Issue Date2021-09 View21

Optimization of Process Parameters in Resin Transfer Molding of Fiber-reinforced Plastics Based on Artificial Intelligence

Lee, Dahun , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2022-05-11 View13

Predicting the material behavior of recycled composites: Experimental analysis and deep learning hybrid approach File

Shim, Yoon-Bo , Lee, In Yong , Park, Young-Bin

Article Issue Date2024-04 View64

Prediction method for propagating crack length of carbon-fiber-based composite double cantilever beam using its electromechanical behavior and particle filter File

Lee, In Yong , Roh, Hyung Doh , Park, Young -Bin

Article Issue Date2022-01 View19

Prediction of Mechanical Behaviors and Fracture Propagation of Recycled Composites using Deep Learning

Shim, Yoon-Bo , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-06-22 View12

Prediction of Mechanical Properties of Recycled Composites using Deep Learning

Shim, Yoon-Bo , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-04-19 View11

Prognostics and Health Management of Composites Under Multiple Impacts Testing Using Electromechanical Behavior Data

Lee, In Yong , Oh, So Young , Jang, Juhyeong , Park, Young-Bin

Conference Paper Issue Date2023-07-04 View18

Real-time condition-based-monitoring of CFRP using electromechanical behavior under multiple impacts

Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2021-11-11 View14

Real-time Decoupled Monitoring on Vacuum Assisted Resin Transfer Molding Using Electrical Resistance

Lee, Dahun , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-11-08 View6

Real-time In-depth Damage Identification and Health Index System for Carbon Fiber-reinforced Composites Using Electromechanical Behavior

Lee, In Yong , Joung, Chanwoo , Oh, So Young , Park, Young-Bin

Conference Paper Issue Date2023-03-22 View5

Real-time in-depth damage identification and health index system for carbon fiber-reinforced composites using electromechanical behavior and data processing tools File

Lee, In Yong , Joung, Chanwoo , Oh, So Young , Park, Young-Bin

Article Issue Date2023-05 View24

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