| 基于本体和规则的扬弹机故障诊断研究 |
| |
| 引用本文： | 徐斌,曹存根,张再跃.基于本体和规则的扬弹机故障诊断研究[J].火炮发射与控制学报,2012(2):63-66. |
| |
| 作者姓名： | 徐斌 曹存根 张再跃 |
| |
| 作者单位： | 1. 江苏科技大学计算机科学与工程学院,江苏镇江,212003
2. 中国科学院计算技术研究所,北京,100190 |
| |
| 基金项目： | 国家自然科学基金资助项目 |
| |
| 摘 要： | 通过对OWL(Web Ontology Language,OWL)本体和SWRL规则语言进行研究,将基于本体和规则的知识表示和智能推理技术应用到舰船扬弹机的故障诊断中。构建了舰船扬弹机的OWL本体及相关的故障诊断SWRL(Semantic Web Rule Language,SWRC)规则,在此基础上开发出一个故障诊断的系统,并实现了诊断推理过程。该系统能帮助设备维护员快速定位故障发生原因,并提供可选用排除故障的基本措施。
|
| 关 键 词： | 人工智能 舰船扬弹机 故障诊断 规则推理 SWRL OWL AI本体 |
Research on Fault Diagnosis of Ammunition Box Hoister Based on Ontology and SWRL Rule |
| |
| XU Bin
,
CAO Cun-gen
,
ZHANG Zai-yue.Research on Fault Diagnosis of Ammunition Box Hoister Based on Ontology and SWRL Rule[J].Gun Launch & Control Journal,2012(2):63-66. |
| |
| Authors: | XU Bin CAO Cun-gen ZHANG Zai-yue |
| |
| Affiliation: | 1 (1.Jiangsu University of Science and Technology,Zhenjiang 212003,Jiangsu,China; 2.Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China) |
| |
| Abstract: | The OWL Ontology and SWRL(Semantic Web Rule Language) were researched.And the knowledge representation and intelligent reasoning technology,which based on OWL ontology and rules,were applied to the fault diagnosis of ammunition box hoister.An ontology and some fault-diagnosis rules of ammunition box hoister has been built,on that basis,a fault diagnosis system to carry out the diagnosis and reasoning procedure were successfully developed.In this demo system,when failure occurred,the failure can be detected and troubleshooting measures can be taken,which is helpful to the equipment operators. |
| |
| Keywords: | artificial intelligence ammunition box hoister for warship fault diagnosis rule-based reasoning SWRL OWL AI ontology |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
