Scale-reasoning based risk propagation analysis: An application to fluid catalytic cracking unit-Reference-Cited by-同舟云学术

Scale-reasoning based risk propagation analysis: An application to fluid catalytic cracking unit

Published:2018-11 Issue: Volume:120 Page:155-165
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Cai Shuang,Zhang Laibin,Hu Jinqiu

Funder

National Natural Science Foundation of China

China University of Petroleum (Beijing) Youth Innovation Team C program

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference25 articles.

1. Combining knowledge modeling and machine learning for alarm root cause analysis;Abele;Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control,2013

2. A practical method for identifying the propagation path of plant-wide disturbances;Bauer;J. Process Control.,2008

3. Finding the direction of disturbance propagation in a chemical process using transfer entropy;Bauer;IEEE Trans. Control Syst. Technol.,2007

4. Wiener-Granger causality: a well established methodology;Bressler;Neuroimage,2011

5. Process hazard analysis, hazard identification and scenario definition: are the conventional tools sufficient, or should and can we do much better?;Cameron;Process Saf. Environ. Prot.,2017

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