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| 基于故障树的复杂系统故障诊断软件设计研究 | |
| 引用本文： | 袁润,汪建业,李亚洲,胡丽琴,王家群,吴宜灿,FDS团队.基于故障树的复杂系统故障诊断软件设计研究[J].核科学与工程,2012,32(1):74-78. |
| 作者姓名： | 袁润 汪建业 李亚洲 胡丽琴 王家群 吴宜灿 FDS团队 |
| 作者单位： | 1. 中国科学院核能安全技术研究所,安徽合肥230031;中国科学院等离子体物理研究所,安徽合肥230031 2. 中国科学院核能安全技术研究所,安徽合肥230031;中国科学院安徽光学与精密机械研究所,安徽合肥230031 3. 中国科学院核能安全技术研究所,安徽合肥230031;中国科学技术大学核科学技术学院,安徽合肥230027 4. 中国科学院核能安全技术研究所,安徽合肥230031;中国科学院等离子体物理研究所,安徽合肥230031;中国科学技术大学核科学技术学院,安徽合肥230027 |
| 摘 要： | 可靠性和安全性要求较高的复杂系统对故障诊断工作的要求也很高。根据系统在设计、运行阶段工作中建立有大量的故障树模型的特点,本文将故障树分析方法与基于知识的方法相结合,提出了一种基于故障树的复杂系统故障诊断方法,并且开发了原型系统,实现了对车载大气光学参数测量系统的快速、智能诊断。 |
| 关 键 词： | 复杂系统 智能故障诊断 故障树 知识库 |
Study of fault diagnosis software design for complex system based on fault tree |
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| YUAN Run , WANG Jian-ye , LI Ya-zhou , HU Li-qin , WANG Jia-qun , WU Yi-can , FDS Team.Study of fault diagnosis software design for complex system based on fault tree[J].Chinese Journal of Nuclear Science and Engineering,2012,32(1):74-78. | |
| Authors: | YUAN Run WANG Jian-ye LI Ya-zhou HU Li-qin WANG Jia-qun WU Yi-can FDS Team |
| Affiliation: | YUAN Run1,2,WANG Jian-ye1,4,LI Ya-zhou1,2,HU Li-qin1,3, WANG Jia-qun1,3,WU Yi-can1,2,3,FDS Team(1.Institute of Nuclear Energy Safety Technology,Chinese Academy of Sciences,Hefei of Anhui Prov.230031,China; 2.Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei of Anhui Prov.230031,China; 3.School of Nuclear Science and Technology,University of Science and Technology of China,Hefei of Anhui Prov.230027,China;4.Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei of Anhui Prov.230031,China) |
| Abstract: | Complex systems always have high-level reliability and safety requirements,and same does their diagnosis work.As a great deal of fault tree models have been acquired during the design and operation phases,a fault diagnosis method which combines fault tree analysis with knowledge-based technology has been proposed.The prototype of fault diagnosis software has been realized and applied to mobile LIDAR system. |
| Keywords: | complex system fault diagnosis fault tree knowledge base |
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