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| 摘要: |
| 将谓词逻辑引入汽轮机故障分析系统中,首先将事实和规则化为与或形,接着采用最一般合一算法对子句集替换合一,最后采用归结原理对汽轮机的故障进行分析.同时,提出采用基于知识本体的推理方法来解决模糊知识的表达和推理问题.采用SPARQL语言和Jena推理机进行模糊知识的推理.SPARQL语言使用SQL语句的查询形式,并提供知识本体查询功能,在本体中,所有的知识都是三元组的形式(),SPARQL只查询本体库中存储的三元组,没有推理功能.因此,把SPARQL查询嵌入在Jena推理机中,通过推理得到隐含的模糊知识三元组.实现了基于规则和本体的汽轮机故障分析仿真系统,其诊断正确率达到89%.该系统具有很高的效率及容错能力. |
| 关键词: 汽轮机 故障分析 规则 本体 谓词逻辑 最一般合一算法 归结原理 三元组 |
| DOI： |
| 分类号:TM311 |
| 基金项目:中国博士后科学基金，国家自然科学基金? |
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| Steam turbine fault analysis based on rule and ontology |
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GUO Qinglin1 2 ZHANG Ming2
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| Abstract: |
| 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 knowle... |
| Key words: steam turbine fault analysis rule ontology predicative logic the most general unifier algorithm inductive reasoning triplet form |
