DocumentCode :
2327347
Title :
Research and Implementation of Fault Diagnosis System on Oil Field Based on Intelligence Integrating
Author :
Zhao Feng-Zhi ; Bao Feng ; Lu Xiao-Chang
Author_Institution :
Dept. of Comput. Sci., Daqing Pet. Inst., Qinhuangdao
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, the authors put forward the integrating intelligence diagnosis model and the key technologies on this model in order to solve the work status diagnosis problem of oil well .The merits of this system included: knowledge acquisition automatically, high speed of identifying, high degree of intelligent zing, etc., and this system can identify 21 kinds of faults, this diagnosis technology was more exact comparing to other diagnosis methods.
Keywords :
fault diagnosis; knowledge acquisition; petroleum industry; fault diagnosis system; intelligence integrating; knowledge acquisition; oil field; oil well; Competitive intelligence; Computer interfaces; Control systems; Databases; Fault diagnosis; Graphics; Intelligent systems; Machine intelligence; Mathematics; Petroleum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2909-7
Electronic_ISBN :
978-1-4244-2910-3
Type :
conf
DOI :
10.1109/EBISS.2009.5138032
Filename :
5138032
Link To Document :
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