Browse > Article
http://dx.doi.org/10.7842/kigas.2018.22.6.40

Modeling Partially Dependent Double Failure States of Pressure Safety Valves  

Choi, Soo Hyong (Division of Chemical Engineering, Chonbuk National University)
Publication Information
Journal of the Korean Institute of Gas / v.22, no.6, 2018 , pp. 40-43 More about this Journal
Abstract
For pressure safety valves, open failure and close failure are partially dependent on each other. A method is proposed in this work that uses a Markov process model and a Weibull distribution model in order to construct a reliability model for two kinds of failure. A pressure safety valve model is obtained from a known open failure model, an induced close failure model, and a simultaneous failure model that reproduces recently reported inspection results. It is expected that the application of the proposed method can be expanded to quantitative risk assessment of various systems that have partially dependent multiple failure states.
Keywords
pressure safety valve; markov process; weibull distribution; quantitative risk assessment;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Crowl, D. A., and Louvar, J. F., Chemical Process Safety: Fundamentals with Applications, 3rd ed., Pearson Education, (2011)
2 Brameret, P.-A., Roussel, J.-M., and Rauzy, A., "Preliminary System Safety Analysis with Limited Markov Chain Generation", 4th IFAC Workshop on Dependable Control of Discrete Systems, Sep 2013, York, United Kingdom, (2013)
3 Yevkin, O., "An Efficient Approximate Markov Chain Method in Dynamic Fault Tree Analysis", Qual. Reliab. Engng. Int., 32, 1509-1520, (2016)   DOI
4 Jang, Y. R., Kim, J. H., Kim, S. H., and Kwak, Y. H., "The necessity of Introducing the In-service Test based on Analysis of Performance Test Result of Pressure Safety Valve", KIGAS, 21(6), 15-22, (2017)
5 Choi, S. H., "A reliability model for process systems under changing operating conditions", Korean J. Chem. Eng., 35(3), 621-625, (2018)   DOI
6 API, Risk-Based Inspection Methodology: API Recommended Practice 581, 3rd ed., American Petroleum Institute, (2016)