Unreliability of a Standby System with Repair and Imperfect Switching

Nielsen, Dan Sandvik; Runge, B.

doi:10.1109/tr.1974.5215698

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…The construction is time-consuming and expensive, moreover, it can be a source of human errors. A faster and error free analysis can be performed if the CCD is automatically generated by computer from the system description [2]. Past work on automating reliability techniques has concentrated on fault tree analysis.…”

Section: Figure 1 Simple Cause-consequence Diagrammentioning

confidence: 99%

“…The consequence diagram is an event-sequential diagram (decision-tree diagram) describing the alternative failure sequences that an abnormal event leads to if one or more of the accident preventing/limiting provisions fail [1]. By using a combination of the reliability methods, the logical connections between independent accident causes and accident consequences can be established [2]. The main symbol in a CCD is a decision box which contains a component/subsystem condition.…”

Section: Introductionmentioning

confidence: 99%

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Development of an algorithm for automated cause-consequence diagram construction

Valaityte

Dunnett

Andrews

2010

IJRS

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• This is a conference paper. AbstractCause-consequence analysis is one of the best tools available for a comprehensive reliability study. The cause-consequence diagram (CCD) method, like fault tree analysis, represents the failure logic of the system, but in addition the CCD also identifies the complete set of consequences following a given initiating event. While there are well-developed commercialized software packages for fault tree evaluation and construction, no satisfactory methodology has been published for automated cause-consequence chart synthesis.Hence this paper outlines the development of an algorithm for automated causeconsequence diagram construction. The algorithm builds on methods developed previously for fault tree construction, such as topology diagrams, describing how components are linked together in a system, and component decision tables which model component behaviour. Using this information rules have been developed which enable the construction of the CCD. Once constructed the diagram can be quantified to give exact system reliability. To demonstrate the construction the algorithm is applied to a simple example.

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Section: Figure 1 Simple Cause-consequence Diagrammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of an algorithm for automated cause-consequence diagram construction

Valaityte

Dunnett

Andrews

2010

IJRS

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“…Cause-Consequence analysis is most frequently applied to systems where the system state changes with time (6,7). No literature exists which documents the application of the Cause-Consequence Diagram method to a static system and this is the topic of this paper.…”

Section: Introductionmentioning

confidence: 99%

Application of the cause–consequence diagram method to static systems

Andrews

Ridley

2002

Reliability Engineering & System Safety

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In the last 30 years various mathematical models have been used to identify the effect of component failures on the performance of a system. The most frequently used technique for system reliability assessment is Fault Tree Analysis (FTA) and a large proportion of its popularity can be attributed to the fact that it provides a very good documentation of the way that the system failure logic was developed. Exact quantification of the fault tree, however, can be problematic for very large systems and in such situations approximations can be used. Alternatively an exact result can be obtained via the conversion of the fault tree into a binary decision diagram. The binary decision diagram, however, loses all failure logic documentation during the conversion process. This paper outlines the use of the Cause-Consequence Diagram method as a tool for system risk and reliability analysis. As with the fault tree analysis method, the Cause-Consequence Diagram documents the failure logic of the system. In addition to this the Cause-Consequence Diagram produces the exact failure probability in a very efficient calculation procedure. The Cause-Consequence Diagram technique has been applied to a static system and shown to yield the same result as those produced by the solution of the equivalent fault tree and binary decision diagram. On the basis of this, general rules have been devised for the correct construction of the Cause-Consequence Diagram given a static system. The use of the cause-consequence method in this manner has significant implications in terms of efficiency of the reliability analysis and can be shown to have benefits for static systems.

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“…The cause-consequence diagram method was developed at RISO National Laboratories, Denmark, in the 1970s, speci cally to aid in the reliability and risk analysis of nuclear power plants in Scandinavian countries [4]. The method was created to assist in the cause-consequence accident analysis of the nuclear plants, which involved identi cation of the potential modes of failure of individual components and then relating these causes to the ultimate consequences for the system [5]. The method can be seen as superior to event tree analysis (ETA) [4], which is also capable of identifying all consequences of a given critical event, as it models at component level and therefore is functionality driven and not subsystem driven.…”

Section: Introductionmentioning

confidence: 99%