서울대학교 초자율화 인공지능 연구실

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

Completed

Korea-Germany Intelligent Manufacturing Systems Laboratory

Period2018-08-01 ~ 2021-02-28 SponsorNational Research Foundation of Korea

Completed

Development of AI-based Diagnosis and Prognostics System for Power Plant

Period2018-07-01 ~ 2022-05-19 SponsorKorea Electric Power Corporation

Completed

Development of Scale-Free Fault Diagnosis Techniques for Similar Mechanical Systems

Period2018-01-01 ~ 2020-12-31 SponsorKorean Institute of Machinery and Materials

Completed

Advances in Fault Detection Techniques for OHT (Overhead Hoist Transport) Driving and Non-driving Parts

Period2018-01-01 ~ 2018-12-31 SponsorSamsung Electronics

Completed

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

Period2017-08-01 ~ 2020-07-31 SponsorKorea Electric Power Corporation

Completed

Development of Health Feature Model in an Industrial Robot Considering Operating Conditions

Period2017-07-01 ~ 2018-06-30 SponsorHyundai Robotics

Completed

Development of Fault Detection Techniques for OHT (Overhead Hoist Transport) Driving Parts under Various Operating Conditions

Period2017-01-01 ~ 2017-12-31 SponsorSamsung Electronics

Completed

Methodology Development of Statistical Failure Criteria for Diagnosing the Evacuator Speed Reducer

Period2016-10-01 ~ 2017-06-30 SponsorDoosan Infracore

Completed

F404 Engine Trend Analysis and Diagnostics Program Development

Period2017-01-01 ~ 2017-12-31 SponsorAero Technology Research Institute, ROKAF

Completed

Development of 6-DOF Cooperative Robot Technology with Repetition Accuracy of 0.1mm and Payload of 15kg in Compliance with International Safety Certification Standard

Period2017-04-01 ~ 2019-12-31 SponsorKorea Evaluation Institute Of Industrial Technology

Completed

Development of RUL Prediction Technique for Rolling Element Bearing Based on Sensor Data

Period2017-04-10 ~ 2017-08-10 SponsorSamsung SDS

Contact Us

Completed

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

Korea-Germany Intelligent Manufacturing Systems Laboratory

Development of AI-based Diagnosis and Prognostics System for Power Plant

Development of Scale-Free Fault Diagnosis Techniques for Similar Mechanical Systems

Advances in Fault Detection Techniques for OHT (Overhead Hoist Transport) Driving and Non-driving Parts

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

Development of Health Feature Model in an Industrial Robot Considering Operating Conditions

Development of Fault Detection Techniques for OHT (Overhead Hoist Transport) Driving Parts under Various Operating Conditions

Methodology Development of Statistical Failure Criteria for Diagnosing the Evacuator Speed Reducer

F404 Engine Trend Analysis and Diagnostics Program Development

Development of 6-DOF Cooperative Robot Technology with Repetition Accuracy of 0.1mm and Payload of 15kg in Compliance with International Safety Certification Standard

Development of RUL Prediction Technique for Rolling Element Bearing Based on Sensor Data

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