A Reliability Model of Process Systems with Multiple Dependent Failure States 


Vol. 33,  No. 6, pp. 37-41, Dec.  2018
10.14346/JKOSOS.2018.33.6.37


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  Abstract

Process safety technology has developed from qualitative methods such as HAZOP (hazard and operability study) to semi-quantitative methods such as LOPA (layer of protection analysis), and quantitative methods are actively studied these days. Quantitative risk assessment (QRA) is often based on fault tree analysis (FTA). FTA is efficient, but difficult to apply when failure events are not independent of each other. This problem can be avoided using a Markov process (MP). MP requires definition of all possible states, and thus, generally, is more complicated than FTA. A method is proposed in this work that uses an MP model and a Weibull distribution model in order to construct a reliability model for multiple dependent failures. As a case study, a pressure safety valve (PSV) is considered, for which there are three kinds of failure, i.e. open failure, close failure, and gas tight failure. According to recently reported inspection results, open failure and close failure are dependent on each other. A reliability model for a PSV group is proposed in this work that is to reproduce these results. It is expected that the application of the proposed method can be expanded to QRA of various systems that have partially dependent multiple failure states.

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  Cite this article

[IEEE Style]

최수형, "A Reliability Model of Process Systems with Multiple Dependent Failure States," Journal of the Korean Society of Safety, vol. 33, no. 6, pp. 37-41, 2018. DOI: 10.14346/JKOSOS.2018.33.6.37.

[ACM Style]

최수형. 2018. A Reliability Model of Process Systems with Multiple Dependent Failure States. Journal of the Korean Society of Safety, 33, 6, (2018), 37-41. DOI: 10.14346/JKOSOS.2018.33.6.37.

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