Troubleshooting of crude oil desalination plant using fuzzy expert system

被引：13
|
作者：
Zahedi, Gholamreza [1 ]
Saba, S. [1 ]
al-Otaibi, Musleh [2 ]
Mohd-Yusof, Khairiyah [1 ]
机构：
[1] Univ Teknol Malaysia, UTM Skudai, Proc Syst Engn Ctr PROSPECT, Fac Chem & Nat Resources Engn, Johor Baharu 81310, Johor, Malaysia
[2] Kuwait Univ, Dept Chem Engn, Safat 13060, Kuwait
来源：
DESALINATION | 2011年 / 266卷 / 1-3期
关键词：
Desalination; Refinery; Trouble shooting; Fuzzy logic; DIAGNOSIS;
D O I：
10.1016/j.desal.2010.08.020
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
This paper investigates fuzzy troubleshooting of a complex crude oil desalination plant. First, probable plant faults and all the related information were investigated. Then, based on the collected data, proper membership functions and consistent rules were prepared. In the next step of study, the Mamdani fuzzy inference system was utilized. Finally, the proposed expert system was employed to recognize faulty performance of the plant. Comparing the proposed model with plant data, it was found that the proposed system is capable of fast and accurate trouble shooting of the plant. In addition to the trouble shooting, the system can also be used for operator training. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：162 / 170
页数：9
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