Record number :
2346978
Title of article :
Fault-tree analysis for liquefied natural gas terminal emergency shutdown system
Author/Authors :
Cheng، نويسنده , , Shuen-Ren and Lin، نويسنده , , Binshan and Hsu، نويسنده , , Bi-Min and Shu، نويسنده , , Ming-Hung، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
7
From page :
11918
To page :
11924
Abstract :
Natural gas, one of the cleanest, most efficient and useful of all energy sources, is a vital component of the world’s supply of energy. To make natural gas more convenient for storage and transportation, it is refined and condensed into a liquid called liquefied natural gas (LNG). In a LNG site, safety is a long-team and critical issue. The emergency shutdown (ESD) system in the LNG receiving terminal is used to automatically stop the pumps and isolate the leakage section. Fault-tree analysis (FTA) has been widely used for providing logical functional relationships among subsystems and components of a system and identifying the root causes of the undesired failures in a system. In the conventional FTA for the ESD system, we usually assume that exact failure probabilities of events are collected. However, in most real applications, first, the FTA for the ESD system needs to be made at a early design or manufacturing stage, certain new components normally used without failure data; secondly, sometimes the environmental change in the system during the operation periods. This makes more difficult to gather past exact failures data for the FTA. To complete the FTA of the ESD system under these uncertain situations, we apply the intuitionistic fuzzy sets (IFS) theory to the FTA. We generate the intuitionistic fuzzy fault-tree interval, and the intuitionistic fuzzy reliability interval for the ESD system. We also present an algorithm to find the critical components in the system based on IFS–FTA and determine weak paths in the ESD system, where the key improvement must be made.
Keywords :
Intuitionistic fuzzy sets theory , Emergency shutdown system , Liquefied natural gas , Fault-tree analysis , probability
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications
Serial Year :
2009
Link To Document :
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