Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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2.10

CiteScore

Ning Zhang1, Xiao Liu2, Taiyuan Liu2, and Baojiang Sun This email address is being protected from spambots. You need JavaScript enabled to view it.1

1School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China
2Qingdao Ocean Engineering and Subsea Equipment Inspection & Testing Co., Ltd. Qingdao, China


 

Received: April 12, 2022
Accepted: August 22, 2022
Publication Date: November 2, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202308_26(8).0010  


ABSTRACT


As a key equipment of the subsea production system, the deep-water manual gate valve is typically in an extremely complex working environment, making its reliability crucial. In this paper, the reliability model of a deep-water manual gate valve is established according to the Markov method. The main failure modes of deep-water manual gate valve are failure to open on demand, failure to close on demand, leakage of fluid media, and leakage when closing by failure mode effects and criticality analysis. According to the established Markov equation set, the steady-state availability and mean time to failure of the system are calculated. The results show that the most effective way to improve the reliability of the deep-water manual gate valve is to reduce the failure rate during normal operation. Meanwhile, the repair time and test completion rate should be shortened and improved. According to the research results, this paper proposes a plan to standardize the valve manufacturing and establish a maintenance test system.


Keywords: Deep-water manual gate valve; reliability; failure mode effects and critically analysis; Markov method; steady-state availability; mean time to failure


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