2012
DOI: 10.1016/j.compchemeng.2012.06.007
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Automating HAZOP studies using D-higraphs

Abstract: In this paper, we present the use of D-higraphs to perform HAZOP studies. D-higraphs is a formalism that includes in a single model the functional as well as the structural (ontological) components of any given system. A tool to perform a semi-automatic guided HAZOP study on a process plant is presented. The diagnostic system uses an expert system to predict the behavior modeled using D-higraphs. This work is applied to the study of an industrial case and its results are compared with other similar approaches … Show more

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Cited by 25 publications
(6 citation statements)
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“…Some approaches aimed to integrate computer-aided design (CAD) software with automatic hazard identification. More recent developments used sophisticated graph-based methods (see [10]- [12]). Zhao et al [13] used case-based reasoning to draw conclusions based on previous situations.…”
Section: Brief State Of Researchmentioning
confidence: 99%
“…Some approaches aimed to integrate computer-aided design (CAD) software with automatic hazard identification. More recent developments used sophisticated graph-based methods (see [10]- [12]). Zhao et al [13] used case-based reasoning to draw conclusions based on previous situations.…”
Section: Brief State Of Researchmentioning
confidence: 99%
“…Thereafter, the same authors developed an automated HAZOP analysis tool for chemical processes called PHASUITE and based on Petri Nets [4]. In the past few years, researchers have concentrated on combining HAZOP with dynamic simulation [5], with Signed Directed Graph [6] or with techniques able to catch the structural aspects of process plants, such as Digraphs [7], D-higraphs [8], Case-Based Reasoning, [9], and Cause-Implication Diagrams [10,11]. Most recent studies, on HAZOP methodology and its automation, was done by Lotero-Herranz and Galàn [12].…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, certain analyses require the use of deviations and not only failures, like HAZOP studies (Rodriguez and De la Mata, 2012). There are a series of causation rules implemented that provides relating two events which allows us to track the evolution and propagation of failures across the system.…”
Section: Causal and Qualitative Reasoningmentioning
confidence: 99%