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

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Year: 2017
Type: article
Source: Industrial & Engineering Chemistry Research
DOI: 10.1021/acs.iecr.6b02763
Authors: Usama Ahmed, Daegeun Ha, Seolin Shin, Nadeem Shaukat, Umer Zahid, Chonghun Han
Institutions: Seoul National University, King Fahd University of Petroleum and Minerals
Language: English

Topic: Fault Detection and Control Systems
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: Ministry of Trade, Industry and Energy, Ministry of Environment, Ministry of Land, Infrastructure and Transport, Korea Agency for Infrastructure Technology Advancement, Korea Institute of Energy Technology Evaluation and Planning
Awards: G144547389, G1591838059, G50361787, G5371391585, G6440499673, G7998341889
OpenAlex ID: W2620575673
FWCI: 0.552
Cites: 32
Cited by: 29
Related to: 9
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