Coupling of adjoint-based Markov/CCMT predictive analytics with data assimilation for real-time risk scenario forecasting of industrial digital process control systems

Author:

Chenyu Jiang,Jun Yang,Ke Xue,Zhanyu He,Ming Yang

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Soft Science Research Project of Guangdong Province

Publisher

Elsevier BV

Subject

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

Reference69 articles.

1. S.H. Ahmadi, M.J. Khosrowjerdi, 2021, Fault detection automation in distributed control systems using data-driven methods: SVM and KNN.

2. Computer-assisted Markov failure modeling of process control systems;Aldemir;IEEE Trans. Reliab.,1987

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4. A novel data-driven methodology for fault detection and dynamic risk assessment;Amin;Trends Chem. Eng.,2020

5. Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula;Amin;Process Saf. Environ. Prot.,2021

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