An illustrative example of fault tree synthesis based on control loop structure

Shafaghi, A.; Lees, F.P.; Andow, P.K.

doi:10.1016/0143-8174(84)90007-6

Cited by 20 publications

(5 citation statements)

References 3 publications

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“…There have been two approaches to the representation of process plant behaviour for the purposes of automatic fault-tree synthesis. One of these we may call the "tree-approach" (Martin-Solis et al, 1982;Taylor, 1982), which is device-centred, and the other we may call the "structure approach" (Shafaghi et al, 1984;Lapp & Powers, 1977), which exploits wider knowledge of the system involved. The former of these is essentially rule-based, though the references quoted precede the development of rule-based shells and languages.…”

Section: Fault-tree Synthesismentioning

confidence: 99%

AI applications in process design, operation and safety

Hutton

Ponton

Waters

1990

The Knowledge Engineering Review

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This review provides an overview of the present state of the art in applying AI techniques to the work of Chemical and Process Engineers. Such work is described, where necessary, in order to make this paper understandable to an audience outside the process engineering community. The first section discusses the nature of chemical engineering design and draws the important distinction between process design and plant design. The complete design cycle is covered a stage at a time and AI applications and issues identified. The section finishes with a discussion of integrated or concurrent design, which is the ultimate aim of much current research. The second section discusses AI applications in process operation. This covers process monitoring, alarm processing and fault diagnosis. The third section discusses, in some depth, design stage loss prevention, that is the design of plants to be safe and reliable. Safety is an integral part of design, but the inclusion of a separate section is appropriate as the qualitative and judgemental nature of many safety related problems has encouraged the use of AI techniques. Applications of AI planning to the problem of automatic operating procedure synthesis and applications of qualitative simulation to chemical engineering problems are also discussed in this section.

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Section: Fault-tree Synthesismentioning

confidence: 99%

AI applications in process design, operation and safety

Hutton

Ponton

Waters

1990

The Knowledge Engineering Review

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“…This model is based on the function of units within the context of the process, the arrangement of the unit functions into systems, and the composition, boundaries, and interdependencies of process systems. This approach is similar to that used by Shafaghi et al (1984) for the construction of fault trees. In this section, we present the framework for development of this model, using a functional decomposition approach.…”

Section: Functional Decompositionmentioning

confidence: 99%

Narrowing diagnostic focus using functional decomposition

Finch

Kramer

1988

AIChE Journal

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The problem of diagnosing faults in chemical plants can be efficiently addressed by a h i e r a r c h i h procedure involving successive narrowing of the space in which the fault search is conducted. A technique is presented for narrowing diagnostic focus useful in the first stages of a diagnostic search. Based on a decomposition of the process according to function, the technique assesses the functionality of process systems based on measurements of controlled and manipulated variables. A procedure for identification of possibly faulty systems and units from the system states is outlined. Detailed diagnosis, not treated in this paper, would be applied after candidate systems or units are located. An example is presented using a hypothetical chemical reaction process.

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“…Fussell developed a typical fault tree synthesis methodology using transfer functions and system schematic diagrams [3], while Lapp and Powers proposed their wellknown algorithm based on digraphs; a digraph represents an accurate representation of the qualitative relationships between process variables, human errors, and equipment failures [4]. The following are proposed methods for making computer-aided FT synthesis more efficient and concise: the reliability graphs approach of Camarda and Trentadue [5], the decomposition approach of Shafaghi et al [6], the mini-fault tree model of Kelly and Lees [7], and the knowledge-based approach of Elliott [8]. Based on these approaches, computerized FT synthesis software and automated FTA software have been developed, e.g., the software package PROFAT-II of Khan and Abbasi [2], CARA-Fault Tree of Sysdvest Software [9], and Fault Tree+ of Isograph Software Ltd. [10].…”

Section: Introductionmentioning

confidence: 98%

Development of a new automatic system for fault tree analysis for chemical process industries

Kim

Lee

et al. 2009

Korean J. Chem. Eng.

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The main purpose of this study was to develop a computer automated tool for fault tree analysis (FTA) in order to minimize the flaws of manual FTA. The automated FTA system developed in this study consists of two steps: 1) automatic fault tree conversion from a digraph, and 2) calculation of the probability of the occurrence of the top event and finding a minimal cut set of the top event. For the first step, we propose a new algorithm for automatic conversion of a digraph to a fault tree. The new digraph-FT conversion algorithm has eight FT generation rules to transform node information that is based on the node characteristics. Failures and faults are classified into three types to easily synthesize fault trees and analyze fault trees precisely. The automatic FTA system was then applied the analysis of real chemical processes to illustrate the effectiveness of the system.

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An illustrative example of fault tree synthesis based on control loop structure

Cited by 20 publications

References 3 publications

AI applications in process design, operation and safety

AI applications in process design, operation and safety

Narrowing diagnostic focus using functional decomposition

Development of a new automatic system for fault tree analysis for chemical process industries

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