Framework of Knowledge Acquisition and Representation Reasoning for Gas Turbine Health Maintenance

doi:10.3969/j.issn.1004-132X.2021.02.015

Abstract

Abstract: Aiming at the problems of incomplete knowledge collection, poor knowledge portability, and inefficient knowledge reasoning in current gas turbine health maintenances, a systematic framework for knowledge acquisition, expression, and reasoning was proposed. Firstly, using combination of failure mode and effect analysis, and fault tree analysis, necessary expert knowledge of gas turbine health diagnosis was obtained from different perspectives. Secondly, acquired expert knowledge was structured, expressed and managed based on ontology modeling. The combination of ontology axioms and custom rules was used to realize searching and reasoning of fault knowledge. Finally, a real gas turbine was selected as an example to illustrate the application of knowledge engineering framework in gas turbine health maintenance systems.

Key words: gas turbine, health maintenance, knowledge acquisition, knowledge representation and reasoning

摘要： 针对当前燃气轮机健康维护工作中知识搜集不全面、知识可移植性差、知识推理效率低等诸多问题，提出了一个知识获取、表达与推理的系统性框架。首先借助故障模式及影响分析法与故障树分析法，从不同角度获取燃气轮机健康问题诊断必要的专家知识；然后基于本体建模对已获取的专家知识进行结构化表达和管理，采用本体公理和自定义规则相结合的方式对故障知识进行搜索与推理；最后，以某实用燃气轮机为对象说明该知识工程框架在燃气轮机健康维护系统中的应用。

关键词: 燃气轮机, 健康维护, 知识获取, 知识表达与推理

CLC Number:

TK01
TH17

WANG Zhong1;GU Yujiong1;HAN Xudong1;SUN Shumin1;ZHU Junjie1;HUANG Yuanping2.

Framework of Knowledge Acquisition and Representation Reasoning for Gas Turbine Health Maintenance

[J]. China Mechanical Engineering, DOI: 10.3969/j.issn.1004-132X.2021.02.015.

王仲1;顾煜炯1;韩旭东1;孙树民1;朱俊杰1;黄元平2. 燃气轮机健康维护知识获取与表达推理的框架[J]. 中国机械工程, DOI: 10.3969/j.issn.1004-132X.2021.02.015.

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