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Reliability analysis of the electrical control system of subsea blowout preventers using Markov models.

Liu Z, Liu Y, Cai B - PLoS ONE (2014)

Bottom Line: Reliability analysis of the electrical control system of a subsea blowout preventer (BOP) stack is carried out based on Markov method.For the subsea BOP electrical control system used in the current work, the 3-2-1-0 and 3-2-0 input voting schemes are available.The effects of the voting schemes on system performance are evaluated based on Markov models.

View Article: PubMed Central - PubMed

Affiliation: College of Mechanical and Electrical Engineering, China University of Petroleum, Qingdao, Shandong, China.

ABSTRACT
Reliability analysis of the electrical control system of a subsea blowout preventer (BOP) stack is carried out based on Markov method. For the subsea BOP electrical control system used in the current work, the 3-2-1-0 and 3-2-0 input voting schemes are available. The effects of the voting schemes on system performance are evaluated based on Markov models. In addition, the effects of failure rates of the modules and repair time on system reliability indices are also investigated.

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Effects of the failure rate of input module on MTTF in the two schemes.
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pone-0113525-g011: Effects of the failure rate of input module on MTTF in the two schemes.

Mentions: By solving Eqs. (8)–(10), MTTF can be obtained. Figures 11–14 illustrate the effects of modules' failure rates on MTTF of the system in the two input voting schemes adopted in this work. With the same failure rate value, MTTF in the 3-2-0 input voting scheme is lower than that in the 3-2-1-0 voting scheme. For the input module, as shown in Figure 11, MTTF decreases more rapidly in the 3-2-0 voting scheme as the failure rate rises. Input voting schemes greatly affects MTTF of the system with high failure rate of input module. For the other components, MTTF decreases in both schemes as the failure rates increase. Figure 13 and 14 show that the processor module and control panel module have similar influences on MTTF of the system in both schemes.


Reliability analysis of the electrical control system of subsea blowout preventers using Markov models.

Liu Z, Liu Y, Cai B - PLoS ONE (2014)

Effects of the failure rate of input module on MTTF in the two schemes.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4237418&req=5

pone-0113525-g011: Effects of the failure rate of input module on MTTF in the two schemes.
Mentions: By solving Eqs. (8)–(10), MTTF can be obtained. Figures 11–14 illustrate the effects of modules' failure rates on MTTF of the system in the two input voting schemes adopted in this work. With the same failure rate value, MTTF in the 3-2-0 input voting scheme is lower than that in the 3-2-1-0 voting scheme. For the input module, as shown in Figure 11, MTTF decreases more rapidly in the 3-2-0 voting scheme as the failure rate rises. Input voting schemes greatly affects MTTF of the system with high failure rate of input module. For the other components, MTTF decreases in both schemes as the failure rates increase. Figure 13 and 14 show that the processor module and control panel module have similar influences on MTTF of the system in both schemes.

Bottom Line: Reliability analysis of the electrical control system of a subsea blowout preventer (BOP) stack is carried out based on Markov method.For the subsea BOP electrical control system used in the current work, the 3-2-1-0 and 3-2-0 input voting schemes are available.The effects of the voting schemes on system performance are evaluated based on Markov models.

View Article: PubMed Central - PubMed

Affiliation: College of Mechanical and Electrical Engineering, China University of Petroleum, Qingdao, Shandong, China.

ABSTRACT
Reliability analysis of the electrical control system of a subsea blowout preventer (BOP) stack is carried out based on Markov method. For the subsea BOP electrical control system used in the current work, the 3-2-1-0 and 3-2-0 input voting schemes are available. The effects of the voting schemes on system performance are evaluated based on Markov models. In addition, the effects of failure rates of the modules and repair time on system reliability indices are also investigated.

Show MeSH