Estimation of Disturbance Propagation Path Using Principal Component Analysis (PCA) and Multivariate Granger Causality (MVGC) Techniques-Reference-Cited by-同舟云学术

Estimation of Disturbance Propagation Path Using Principal Component Analysis (PCA) and Multivariate Granger Causality (MVGC) Techniques

Author:

Ahmed Usama¹,Ha Daegeun¹,Shin Seolin¹,Shaukat Nadeem²,Zahid Umer³,Han Chonghun¹^ORCID

Affiliation:

1. School of Chemical and Biological Engineering, Seoul National University, Seoul 151-744, Republic of Korea

2. Department of Nuclear Engineering, Seoul National University, Seoul 151-744, Republic of Korea

3. Chemical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Funder

Korea Agency for Infrastructure Technology Advancement

Ministry of Trade, Industry and Energy

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Environment

Ministry of Land, Infrastructure and Transport

Institute of Chemical Processes, Seoul National University

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

Reference39 articles.

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Root cause and fault propagation analysis based on causal graph in chemical processes;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22