SNU CBE

Fault Detection and Control Systems

연구주제 · Control and Systems Engineering

참여 교수

교수연구분야논문
이종민공정시스템17
이원보공정시스템 · 고분자 및 유기 소재3
홍무선공정시스템 · 생물 및 환경3
남재욱고분자 및 유기 소재1
안경현공정시스템1

연결되는 NTIS 분류

화학공정 7 고분자 공정기술 2

논문 (피인용 순)

연도논문학부 저자피인용
2024Machine learning for industrial sensing and control: A survey and practical perspective
Control Engineering Practice
이종민91
2019Root causality analysis at early abnormal stage using principal component analysis and multivariate Granger causality
Process Safety and Environmental Protection
이원보46
2020Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey 화학공정 › 공정시스템기술
IFAC-PapersOnLine
이종민45
2020Data-driven fault diagnosis for chemical processes using transfer entropy and graphical lasso
Computers & Chemical Engineering
이종민28
2025Self-Explanatory Fault Diagnosis Framework for Industrial Processes Using Graph Attention
IEEE Transactions on Industrial Informatics
이종민26
2023Automated outlier detection and estimation of missing data 화학공정 › 공정시스템기술
Computers & Chemical Engineering
홍무선18
2021Data-driven fault detection for chemical processes using autoencoder with data augmentation 화학공정 › 촉매/반응기술
Korean Journal of Chemical Engineering
이종민17
2023Smart process analytics for the end-to-end batch manufacturing of monoclonal antibodies
Computers & Chemical Engineering
홍무선14
2019Process fault diagnosis via the integrated use of graphical lasso and Markov random fields learning & inference
Computers & Chemical Engineering
이원보13
2022Soft Sensor for Melt Index Prediction Based on Long Short-Term Memory Network
IFAC-PapersOnLine
이종민12
2022Hybrid modeling approach for polymer melt index prediction 고분자 공정기술 › 고분자 중합공정기술
Journal of Applied Polymer Science
이종민10
2018Efficient Process Monitoring via the Integrated Use of Markov Random Fields Learning and the Graphical Lasso 화학공정 › 공정시스템기술
Industrial & Engineering Chemistry Research
이원보9
2021Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring
Industrial & Engineering Chemistry Research
이종민8
2023Model-based fault detecting strategy of urea-selective catalytic reduction (SCR) for diesel vehicles
Korean Journal of Chemical Engineering
이종민8
2024TabNet-based Self-supervised Fault Diagnosis in Multivariate Time-series Process Data without Labels
IFAC-PapersOnLine
이종민7
2021Real-time synchronization with expected distribution of synchronized index for on-line monitoring of uneven multiphase batch process 화학공정 › 공정시스템기술
Computers & Chemical Engineering
이종민7
2024Data-driven analysis of temporal evolution of battery slurry in pipe systems 화학공정 › 공정설비기술
Journal of Power Sources
남재욱, 이종민5
2023Tensorial approaches combining time series and batch data for the end-to-end batch manufacturing of monoclonal antibodies
Computers & Chemical Engineering
홍무선5
2025Unsupervised Incremental Learning Framework for Online Fault Diagnosis
Industrial & Engineering Chemistry Research
이종민4
2025Dimensionality Reduction for Clustering of Nonlinear Industrial Data: A Tutorial 화학공정 › 공정시스템기술
Korean Journal of Chemical Engineering
이종민2
2015A Fault Magnitude-Based Strategy for Effective Fault Diagnosis and Isolation
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
이종민2
2023Soft sensor development based on just-in-time learning and dynamic time warping for multi-grade processes
Korean Journal of Chemical Engineering
이종민2
2025Multimodal learning with missing modality for chemical process system
Computers & Chemical Engineering
이종민1
2026Real‐Time Diagnosis of Polymer Compositions During Extrusion via Pressure Signals and Machine Learning 고분자 공정기술 › 고분자 가공/성형기술
Polymer Engineering and Science
안경현0

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 5

이원보 · 이종민 · 안경현 · 남재욱 · 홍무선

논문 24

Data-driven analysis of temporal evolution of battery slurry in pipe s · Process fault diagnosis via the integrated use of graphical lasso and · Efficient Process Monitoring via the Integrated Use of Markov Random F · Unsupervised Incremental Learning Framework for Online Fault Diagnosis · Root causality analysis at early abnormal stage using principal compon · TabNet-based Self-supervised Fault Diagnosis in Multivariate Time-seri · Machine learning for industrial sensing and control: A survey and prac · Soft sensor development based on just-in-time learning and dynamic tim · Self-Explanatory Fault Diagnosis Framework for Industrial Processes Us · Smart process analytics for the end-to-end batch manufacturing of mono · Data-driven fault detection for chemical processes using autoencoder w · Clustered Manifold Approximation and Projection for Semisupervised Fau · Hybrid modeling approach for polymer melt index prediction · Automated outlier detection and estimation of missing data · A Fault Magnitude-Based Strategy for Effective Fault Diagnosis and Iso · Dimensionality Reduction for Clustering of Nonlinear Industrial Data: · Model-based fault detecting strategy of urea-selective catalytic reduc · Real‐Time Diagnosis of Polymer Compositions During Extrusion via Press · Soft Sensor for Melt Index Prediction Based on Long Short-Term Memory · Modern Machine Learning Tools for Monitoring and Control of Industrial · Multimodal learning with missing modality for chemical process system · Data-driven fault diagnosis for chemical processes using transfer entr · Tensorial approaches combining time series and batch data for the end- · Real-time synchronization with expected distribution of synchronized i

학문분야 1

Control and Systems Engineering