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《Electric Power Automation Equipment》 2009-04
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Steam turbine fault analysis based on rule and ontology

GUO Qinglin1,2,ZHANG Ming2(1.School of Computer Science and Technology,North China Electric Power University,Beijing 102206,China;2.Department of Computer Science and Technology,Peking University,Beijing 100871,China)  
An approach of steam turbine fault analysis based on rule and ontology is presented.The predicative logic is introduced into the fault analysis system,in which,the facts and rules are formatted with "and-or" forms,the clause set is unified by the most general unifier algorithm,and the steam turbine faults are analyzed by the inductive reasoning.The ontology-based illation method is used to express the fuzzy know-ledge with SPARQL language in the searching form of SQL sentences and to deduce the fuzzy knowledge with Jena Reasoner.In ontology,all knowledge is expressed in triplet form(〈subject,property,object〉).Without reasoning,SPARQL only searches the triplet saved in the ontology library.The implied triplet is obtained through reasoning by embedding SPARQL enquiry into Jena Reasoner.A steam turbine fault analysis system based on rule and ontology is implemented,which has higher efficiency and error-tolerance capability,and its accuracy is 89%.
【Fund】: 中国博士后科学基金项目(20080430250);; 国家自然科学基金项目(70572090)~~
【CateGory Index】: TM311
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