서울대학교 초자율화 인공지능 연구실

Completed

Development of Fault Diagnosis for Gearbox under Non-stationary Rotational Operating Conditions

Period2021-03-01 ~ 2022-02-28 SponsorDoosan Infracore

Completed

Operation of Industry-Academic Advisory Group for Reliability Component Development

Period2021-03-01 ~ 2022-02-28 SponsorHyundai Motor

Completed

Development of Health State Diagnostics and Prognostics for Substation Facility based on Integration of Artificial Intelligence and Expert Knowledge

Period2020-08-01 ~ 2022-05-19 SponsorKorea Electric Power Corporation

Completed

Operation of Industry-Academic Advisory Group for Improving Automotive Reliability

Period2020-06-01 ~ 2022-03-20 SponsorHyundai Motor

Completed

Development of Deep Learning based Anomaly Detection Techniques for OHT (Overhead Hoist Transport) Driving Parts

Period2020-05-21 ~ 2020-12-31 SponsorSamsung Electronics

Completed

Physics+AI Modeling and Evolution Methodology for Mechanical Systems

Period2020-03-01 ~ 2024-02-29 SponsorNational Research Foundation of Korea

Completed

Industrial Artificial Intelligence (AI) Human Resource Development (HRD)

Period2020-03-01 ~ 2024-02-29 SponsorMinistry of Trade, Industry and Energy

Completed

Industrial Artificial Intelligence for Intelligent Machines and Manufacturing Digitalization

Period2019-12-01 ~ 2022-11-30 SponsorKorea Institute for Advancement of Technology

Completed

Structural Analysis for Pressurizing System Design of an All-Solid-State Battery

Period2019-11-25 ~ 2020-11-24 SponsorHyundai Motor

Completed

Operation of Industry-Academic Advisory Group for Improving Reliability and Process of Enterprise Parts

Period2019-11-01 ~ 2020-10-31 SponsorHyundai Motor

Completed

Developement of Interconnected Modular Exo-Suit System Technology for Muscular Strength of Human's Waist, Shoulder, and Knee

Period2019-10-01 ~ 2021-09-30 SponsorCivil Military Technology Cooperation Center

Completed

Development of Fault Diagnosis/Prediction for Foaming Process

Period2019-07-01 ~ 2019-12-31 SponsorLG Electronics

Completed

Research on Health Data and Fault Detection of Power Transformers

Period2019-06-01 ~ 2019-11-30 SponsorSamsung Electronics

Completed

Automation Framework of Reliability-Based Battery Pack System Analysis Considering Cell Characteristics

Period2019-04-15 ~ 2020-10-14 SponsorHyundai Motor

Completed

KF -X Engine Tendency Analysis and Review of Diagnostic System Needs

Period2019-01-31 ~ 2019-07-30 SponsorKorea Aerospace Industries

Completed

Development of Machine Learning based Condition Monitoring Techniques for OHT (Overhead Hoist Transport) Driving Parts and Fault Detection Techniques for Stepper Motor

Period2019-01-01 ~ 2019-12-31 SponsorSamsung Electronics

Contact Us

Development of Fault Diagnosis for Gearbox under Non-stationary Rotational Operating Conditions

Operation of Industry-Academic Advisory Group for Reliability Component Development

Development of Health State Diagnostics and Prognostics for Substation Facility based on Integration of Artificial Intelligence and Expert Knowledge

Operation of Industry-Academic Advisory Group for Improving Automotive Reliability

Development of Deep Learning based Anomaly Detection Techniques for OHT (Overhead Hoist Transport) Driving Parts

Physics+AI Modeling and Evolution Methodology for Mechanical Systems

Industrial Artificial Intelligence (AI) Human Resource Development (HRD)

Industrial Artificial Intelligence for Intelligent Machines and Manufacturing Digitalization

Structural Analysis for Pressurizing System Design of an All-Solid-State Battery

Operation of Industry-Academic Advisory Group for Improving Reliability and Process of Enterprise Parts

Developement of Interconnected Modular Exo-Suit System Technology for Muscular Strength of Human's Waist, Shoulder, and Knee

Development of Fault Diagnosis/Prediction for Foaming Process

Research on Health Data and Fault Detection of Power Transformers

Automation Framework of Reliability-Based Battery Pack System Analysis Considering Cell Characteristics

KF -X Engine Tendency Analysis and Review of Diagnostic System Needs

Development of Machine Learning based Condition Monitoring Techniques for OHT (Overhead Hoist Transport) Driving Parts and Fault Detection Techniques for Stepper Motor

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