최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기반도체디스플레이기술학회지 = Journal of the semiconductor & display technology, v.22 no.4, 2023년, pp.113 - 118
김미진 (한국공학대학교 IT반도체융합공학부) , 구교문 (한국공학대학교 IT반도체융합공학부) , 심재홍 (한국공학대학교 메카트로닉스공학부) , 김효영 (한국공학대학교 메카트로닉스공학부) , 김기현 (한국공학대학교 메카트로닉스공학부)
Maintenance of semiconductor equipment processes is crucial for the continuous growth of the semiconductor market. The process must always be upheld in optimal condition to ensure a smooth supply of numerous parts. Additionally, it is imperative to monitor the status of the robots that play a centra...
J.H.Ahn., Y.Oh., "A Study on the Implementation of?Intelligent Diagnosis System for Motor Pump" J of?Korean Society of Semiconductor & Display Technology, pp. 87-91, 2019.
Y.J.Lee., H.J.Youn., H.U.Park., "SCADA System for?Semiconductor Equipment Condition Monitoring" J?of Korean Society of Semiconductor & Display?Technology, pp. 92-95, 2019.
Koen Classens., Maurice Heemels., Tom Oomen.,?"From Fault Diagnosis and Predictive Maintenance?to Control Reconfiguration", DSPE MIKRONIEK,?pp. 5-6, 2023.
M.J.Kim., K.I.Ko., K.M.Ku., K.H.Kim., "A study on?the Failure Diagnosis of Transfer Robot for Semiconductor Automation Based on Machine Learning?Algorithm", J of Korean Society of Semiconductor?& Display Technology, Vol.21, pp.65-70, 2022.
D.J.ChoI., J.H.Han., "Comparison of Characteristics?of Noise and Vibration Data for Diagnosis of Deep?Learning Motor Fault" J. of The Korean Institute of?Electrical Engineers, pp. 46-47, 2019.
N.J.Kim., Y.C.Bae., "Status Diagnosis of Pump and?Motor Applying K-Nearest Neighbors" J. of Korean?Institute of Electronic Communication Science, Vol.?13, pp. 1249-1255, 2018.
Y.K. Lee., S.C. Hong., J.K. Hong., "LSTM-based?Drone's Anomal Motor Vibration Detection System"?J. of Information Technology and Architecture, Vol.?17, pp. 315-321, 2020.
Izaz Raouf., H.Y.Lee., H.S.Kim., "Mechanical fault?detection based on machine learning for robotic RV?reducer using electrical current signature analysis: a?data-driven approach" J. of Computational Design?and Engineering, Vol. 9, pp. 417-433, 2022.
B.D. Youn., Y.H. Kim., J.H. Park., "Experimental?Assessment of Fault Detection Method for and Industrial Robot under Various Operation Conditions"?J. of Korean Society for Noise and Vibration Engineering, Vol. 10, pp. 243, 2017.
Kaije Lu., Chong Chen., Tao Wang., "Fault diagnosis?of industrial robot based on dual-module attention?convolutional neural network" J of Autonomous?Intelligent System, Vol. 2, pp. 2-12, 2022.
Jae Hyun Park., Cheol Hong Kim., "Analysis of?Accuracy and Computation Complexity of Bearing?Fault Diagnosis Methods using CNN-based Deep?Learning," J of Institute of Next Generation Computing, Vol. 18, pp. 7-18, 2022.
J.H.Jung., M.Y.Kim., J.U.Ko., "Deep Learning Based?Diagnosis using Enhanced Vibration Image for?Journal Bearing Roter Systems: Efficiency and Accuracy Study" J of The Korean Society of Mechanical?Engineers, Vol. 9, pp. 1132-1134, 2017.
J.H.Park., M.J.Song., S.E.Ahn., "Developing the?Fault Diagniostics and Prognostics Model of a Rotating Machinery" J of The Korean Operations Research and Management Science Society, Vol. 45, pp.?25-38, 2020.
J.H.Jo., S.B.Yoo., S.W.Ban., " Deep learning-based?failure diagnosis" J of Korean Institute of Information Scientists and Engineering, Vol. 15, pp. 509-511, 2021.
S.H.Kim., J.H.Jang., B.S.Chu., "Development of?Diagnosis Algorithm for Cam Wear of Paper Container Using Machine Learning", Vol. 36, pp. 953-959, 2019.
S.H.Park., J.S.Do., S.D.Choi., J.W.Hur., "Fault Diagnosis of Drome Using Machine Learning", Vol. 20,?pp. 28-34, 2021.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.