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시스템 건전성 및 리스크 관리 연구실

Laboratory for System Health & Risk Management

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ㆍ Title New Project: Development of Machine Learning based Condition Monitoring Techniques for OHT (Overhead Hoist Transport) Driving Parts and Fault Detection Techniques for Stepper Motor
ㆍ Visits 1505 ㆍ Date 2019-01-01
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Project TitleDevelopment of Machine Learning based Condition Monitoring Techniques for OHT (Overhead Hoist Transport) Driving Parts and Fault Detection Techniques for Stepper Motor
CategoryPrognostics & Health Management
Support Organization: Samsung Electronics
Research Period2019-01-01 ~ 2019-12-31
Research Fund: 80,000,000
Researcher​: Gil Jun Ahn (안길준), Joohyeon Im (임주현)

 

 


 

이전글 OnePredict participates in the Smart Factory + Automation World 2019
다음글 New Project: Automation Framework of Reliability-Based Battery Pack System Analysis Considering Cell Characteristics
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