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A Feasibility Study on CNT- and Graphene-aided Structural Health Monitoring of Wind Turbine Blades

Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2017-07-12 View4

Advanced Condition-Based Maintenance of Composites Based on Real-Time Electromechanical Behavior Data

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

Conference Paper Issue Date2022-10-18 View4

Advanced Condition-based Monitoring of Carbon Fiber Reinforced Plastic Using Real-time Electromechanical Behavior Analysis File

Lee, In Yong

Thesis Issue Date2022-08 View12

Advanced condition-based monitoring of CFRP under multiple impacts using monte carlo based prognostics and real-time self-sensing data

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

Conference Paper Issue Date2023-09-12 View4

Advanced condition-based self-monitoring of composites damaged area under multiple impacts using Monte Carlo based prognostics File File

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

Article Issue Date2023-06 View12

Advanced Condition-based-monitoring of CFRP Structures Using Electromechanical Behavior under Multiple impacts

Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2022-05-18 View4

Advanced Condition-based-monitoring of CFRP Structures Using Electromechanical Behavior under Tensile Test with Health Index System

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

Conference Paper Issue Date2023-05-19 View4

Advanced Condition-based-monitoring of CFRP Structures Using Electromechanical under Multiple Impacts

Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2022-06-30 View4

Advanced non-destructive evaluation of impact damage growth in carbon-fiber-reinforced plastic by electromechanical analysis and machine learning clustering File

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

Article Issue Date2022-02 View6

Advanced Structural Health Monitoring in Carbon Fiber-Reinforced Plastic Using Real-time Self-sensing Data and Convolutional Neural Network Architectures

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

Conference Paper Issue Date2022-05-20 View1

Advanced structural health monitoring in carbon fiber-reinforced plastic using real-time self-sensing data and convolutional neural network architectures File File

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

Article Issue Date2022-12 View4

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 View6

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 View4

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 View2

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 View1

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 View1

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 View5

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 View5

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 View5

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 View8

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