[1]邢勇,陈小虎,毋文峰.基于本体的液压系统故障诊断知识建模与推理[J].计算机技术与发展,2013,(04):184-188.
 XING Yong,CHEN Xiao-hu,WU Wen-feng.Knowledge Modeling and Reasoning for Hydraulic System Fault Diagnosis Based on Ontology[J].,2013,(04):184-188.
点击复制

基于本体的液压系统故障诊断知识建模与推理()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年04期
页码:
184-188
栏目:
安全与防范
出版日期:
1900-01-01

文章信息/Info

Title:
Knowledge Modeling and Reasoning for Hydraulic System Fault Diagnosis Based on Ontology
文章编号:
1673-629X(2013)04-0184-05
作者:
邢勇陈小虎毋文峰
第二炮兵工程大学
Author(s):
XING YongCHEN Xiao-huWU Wen-feng
关键词:
液压系统故障诊断本体推理protégéOWL语言
Keywords:
hydraulic systemfault diagnosisontologyreasoningprotégéOWL
文献标志码:
A
摘要:
为了实现液压系统故障诊断知识集成与共享,提高知识组织和维修技术支持效率,论文引入本体作为知识建模的技术工具,在分析液压系统故障诊断知识结构、体系的基础上,利用protégé3.3.1、protégé3.4.7、protégé4.2系列版本软件和本体构建方法构建了液压系统故障诊断知识模型,并使用OWL语言描述了该本体,实现了本体的机器可读,通过Pro-Race、Pellet、JESS推理器和SWRL语言构建的液压系统液压油检测规则对构建的本体进行推理,实现了液压系统常见的故障诊断.初步实现了基于本体的知识建模,验证了模型的推理能力并应用于具体诊断,为有效地管理使用液压系统领域知识提供了新的技术手段
Abstract:
In order to realize integration and sharing of hydraulic systems fault diagnosis knowledge,and improve the efficiency of knowl-edge organization and maintenance of technical support,introduce ontology as a technical tool of knowledge modeling. Based on the anal-ysis of knowledge structure of hydraulic systems,take advantage of protégé3. 3. 1,protégé3. 4. 7,protégé4. 2 series version of the software and ontology construction method to build a hydraulic system fault diagnosis model and describe the ontology with OWL,realize graph-ical representation. Through hydraulic system detection rules of the hydraulic oil established by ProRace,Pellet,JESS reasoner and SWRL language finish ontology reasoning,realizing junior fault diagnosis. Provide a new technique for the effective management and use of do-main knowledge of the hydraulic system

相似文献/References:

[1]张甜 罗眉 孟晓红 赵宗涛.一种基于状态特征的航天发射故障诊断技术[J].计算机技术与发展,2010,(01):93.
 ZHANG Tian,LUO Mei,MENG Xiao-hong,et al.A Technology in Fault Diagnosis of Spaceflight Launch Based on State Character[J].,2010,(04):93.
[2]王宏宇 倪志伟 严军 韩丹.灰度关联理论在CBR中的应用研究[J].计算机技术与发展,2010,(05):96.
 WANG Hong-yu,NI Zhi-wei,YAN Jun,et al.Research on Application of Grey-Relational Theory in CBR[J].,2010,(04):96.
[3]宫义山 高媛媛.基于信息融合的诊断贝叶斯网络研究[J].计算机技术与发展,2009,(06):106.
 GONG Yi-shan,GAO Yuan-yuan.Diagnostic Bayesian Networks Research Based on Information Fusion[J].,2009,(04):106.
[4]赵熙临 刘辉.粗糙集理论在故障诊断中的问题分析[J].计算机技术与发展,2008,(01):132.
 ZHAO Xi-lin,LIU Hui.An Analysis of Problem about Rough Set Theory in Fault Diagnosis[J].,2008,(04):132.
[5]张霞 王建东 庄毅 邹玉娟.文本聚类分析在故障诊断中的应用[J].计算机技术与发展,2007,(02):8.
 ZHANG Xia,WANG Jian-dong,ZHUANG Yi,et al.Application of Clustering Analysis of Text in Fault Diagnosis[J].,2007,(04):8.
[6]刘辉 任培 周经伦.基于故障树的故障诊断IDSS的设计[J].计算机技术与发展,2006,(06):1.
 LIU Hui,REN Pei,ZHOU Jing-lun.Design of Intelligent Decision Support System for Fault Diagnosis Based on Fault Tree[J].,2006,(04):1.
[7]张炜.一种面向故障诊断的模糊Petri网[J].计算机技术与发展,2011,(06):227.
 ZHANG Wei.A Fuzzy Petri Net Oriented Fault Diagnosis[J].,2011,(04):227.
[8]张晓宇 董增寿 宋仁旺.基于EMD和改进PSO-Elman神经网络的液压故障诊断[J].计算机技术与发展,2012,(04):29.
 ZHANG Xiao-yu,DONG Zeng-shou,SONG Ren-wang.Hydraulic System Fault Diagnosis Based on EMD and Modified PSO-Elman ANN[J].,2012,(04):29.
[9]李莎 陶红 高尚.基于属性约简与参数优化的SVM故障诊断研究[J].计算机技术与发展,2012,(04):175.
 LI Sha,TAO Hong,GAO Shang.SVM Fault Diagnosis Research Based on Attribute Reduction and Parameters Optimization[J].,2012,(04):175.
[10]陈晓东 王洪喜.淋浴箱组故障自诊断语音报警系统的设计[J].计算机技术与发展,2012,(08):225.
 CHEN Xiao-dong,WANG Hong-xi.Design of Breakdown Self-diagnostic and Voice Alarm System about Shower Box Group[J].,2012,(04):225.

更新日期/Last Update: 1900-01-01