A holistic framework for process safety and security analysis

Amin, Md. Tanjin; Khan, Faisal; Halim, Syeda Zohra; Pistikopoulos, Efstratios N.

doi:10.1016/j.compchemeng.2022.107963

Cited by 10 publications

(4 citation statements)

References 68 publications

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“…Amin et al [41] developed an integrated BN-based safety and security analysis framework that considers both physical and cyber attacks on production facilities. Huang et al [42] proposed a quantitative vulnerability assessment method for chemical systems that greatly optimizes deployment for safety barriers.…”

Section: Foundational Researches On Hydrogen Safety Modelingmentioning

confidence: 99%

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Risk Identification and Safety Technology for Hydrogen Production from Natural Gas Reforming

Feng,

Gu,

Pang

et al. 2024

ChemBioEng Reviews

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The hydrogen production from natural gas has advantages of low investment, low carbon emission, and high hydrogen production rate. This paper briefly describes the technical overview of hydrogen production from natural gas reforming and identifies its risk factors. According to the dangerous characteristics of high reaction temperature, easy leakage of reaction medium, flammability, and explosion in the process, the intrinsic safety of the process is discussed in combination with relevant research and industrial experience. The safety requirements of key equipment and materials are introduced in detail, followed by the optimization methods of process safety that can be taken in the engineering process. Besides, the accident prevention measures for emergency shutdown and fire explosion are summarized. Finally, the future research demands are put forward from the perspective of research and development, which is instructive for the safe hydrogen production from natural gas in the future.

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Section: Foundational Researches On Hydrogen Safety Modelingmentioning

confidence: 99%

“…Amin et al. 41 developed an integrated BN‐based safety and security analysis framework that considers both physical and cyber attacks on production facilities. Huang et al.…”

Section: Foundational Researches On Hydrogen Safety Modelingmentioning

confidence: 99%

Risk Identification and Safety Technology for Hydrogen Production from Natural Gas Reforming

Feng,

Gu,

Pang

et al. 2024

ChemBioEng Reviews

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“…The CSTH benchmark process is a heat exchanger system commonly applied in chemical process fault diagnosis [46][47][48] and safety analysis [49]. Its dynamic model describes the behavior of the CSTH system in terms of fluid flow, heat transfer, and temperature dynamics.…”

Section: Scenario Twomentioning

confidence: 99%

Valve Stiction Detection Method Based on Dynamic Slow Feature Analysis and Hurst Exponent

Shang

Zhang

2023

Processes

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Valve stiction is the most common root of oscillation faults in process control systems, and it can cause the severe deterioration of control performance and system instability, ultimately impacting product quality and process safety. A new method for detecting valve stiction, based on dynamic slow feature analysis (DSFA) and the Hurst exponent, is proposed in this paper. The proposed method first utilizes DSFA to extract slow features (SFs) from the preprocessed and reconstructed data of the controller output and the controlled process variable; then, it calculates the Hurst exponent of the slowest SF to quantify its long-term correlation; and, finally, it defines a new valve detection index to identify valve stiction. The results obtained from simulations and actual process case studies demonstrate that the proposed method, based on a DSFA–Hurst exponent, can effectively detect valve stiction in control loops.

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“…An optimally performing control system is a key to achieving digitalization and automation as envisaged under the industry 4.0 paradigm. Industrial safety is critical to the progression of this fourth industrial revolution. − Process monitoring has been explored for decades to reduce hazards and meet process safety criteria. In this regard, process monitoring is a wide field which incorporates fault detection and diagnosis by considering measurements from the whole plant. , To that purpose, various important reviews have been published that examine the noteworthy approaches and discoveries in this research area. − The most prominent tools include the multivariate statistical process performance monitoring (MSPPM) methods such as dimensionality reduction, involving principal component analysis (PCA) − and partial least-squares (PLS). , Bayesian networks (BN) were also proposed and implemented for different processes, especially, chemical plants.…”

Section: Introductionmentioning

confidence: 99%

Controller Performance Monitoring: A Survey of Problems and a Review of Approaches from a Data-Driven Perspective with a Focus on Oscillations Detection and Diagnosis

Bounoua

Aftab

Omlin

2022

Ind. Eng. Chem. Res.

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Optimal operations of industrial control systems require rigorous monitoring to ensure safety, increase profitability, and minimize plant maintenance downtime. Thus, controller performance monitoring has been actively pursued by the research community, resulting in increased research publications over the past two decades. The availability of large data sets, the so-called big data era, has led impetus to the data-driven domain of controller performance monitoring. In this paper, a comprehensive review of the data-driven research in the CPM domain is presented. To illustrate the rationale behind the research efforts, a succinct explanation of the faults observed in control loops and their influence on overall controller performance is also presented. The paper then provides the publicly available data repositories adopted by most researchers to assess and compare their performance monitoring techniques realistically. Moreover, a review of the most eminent techniques proposed so far concerning both detection and diagnosis phases is presented.

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A holistic framework for process safety and security analysis

Cited by 10 publications

References 68 publications

Risk Identification and Safety Technology for Hydrogen Production from Natural Gas Reforming

Risk Identification and Safety Technology for Hydrogen Production from Natural Gas Reforming

Valve Stiction Detection Method Based on Dynamic Slow Feature Analysis and Hurst Exponent

Controller Performance Monitoring: A Survey of Problems and a Review of Approaches from a Data-Driven Perspective with a Focus on Oscillations Detection and Diagnosis

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