Simulation-based fault propagation analysis-Application on hydrogen production plant
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- @Article{Gabbar:2014:PSEP,
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author = "Hossam A. Gabbar and Sajid Hussain and
Amir Hossein Hosseini",
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title = "Simulation-based fault propagation
analysis-Application on hydrogen production plant",
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journal = "Process Safety and Environmental Protection",
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year = "2014",
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volume = "92",
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number = "6",
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pages = "723--731",
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month = nov,
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ISSN = "0957-5820",
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DOI = "doi:10.1016/j.psep.2013.12.006",
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URL = "http://www.sciencedirect.com/science/article/pii/S0957582013000955",
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keywords = "genetic algorithms, genetic programming, Fault sematic
network (FSN), Cu-Cl thermochemical cycle, Aspen HYSYS,
Neural networks, Process variables interaction",
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size = "9 pages",
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abstract = "Recently production of hydrogen from water through the
Cu--Cl thermochemical cycle is developed as a new
technology. The main advantages of this technology over
existing ones are higher efficiency, lower costs, lower
environmental impact and reduced greenhouse gas
emissions. Considering these advantages, the usage of
this technology in new industries such as nuclear and
oil is increasingly developed. Due to hazards involved
in hydrogen production, design and implementation of
hydrogen plants require provisions for safety,
reliability and risk assessment. However, very little
research is done from safety point of view. This paper
introduces fault semantic network (FSN) as a novel
method for fault diagnosis and fault propagation
analysis by using evolutionary techniques like genetic
programming (GP) and neural networks (NN), to uncover
process variables' interactions. The effectiveness,
feasibility and robustness of the proposed method are
demonstrated on simulated data obtained from the
simulation of hydrogen production process in Aspen
HYSYS. The proposed method has successfully achieved
reasonable detection and prediction of non-linear
interaction patterns among process variables.",
- }
Genetic Programming entries for
Hossam A Gabbar
Sajid Hussain
Amir Hossein Hosseini
Citations