第32卷
第1期
2012年3月
核科学与工程
Nuclear Science and Engineering
基于故障树的复杂系统故障
诊断软件设计研究
Vol.32
No.1 Mar.2012
袁润1,2，汪建业1.4，李亚洲1,2，胡丽琴1,3，王家群1.3，吴宜灿1.2.3，FDS团队(1.中国科学院核能安全技术研究所，安数合肥230031;2.中国科学院等高子体物理研究所，安数合肥230031； 3.中国科学技术大学核科学技术学院，安徽合肥230027；4.中国科学院安徽光学与精密机械研究所，安徽合肥230031）
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。
关键调：复杂系统；智能故障诊断；故障树；知识库
中图分类号：TL364
文章标志码：A
文章编号：0258-0918(2012)01-0074-05
Studyoffaultdiagnosissoftwaredesign forcomplexsystembasedonfaulttree
YUAN Run'-*, WANG Jian-ye'-*, LI Ya-zhoul-*, HU Li-qin'3,
WANGJia-qun-3,WUYi-can-2.FDSTeam
(I. Institute of Nuclear Energy Sefety 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 Scienee and Technology, University of Seience and Technology of China, Hefei of Anhui Prov, 230027, Chinaj4. 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.
Key words; complex system; fault diagnosis; fault tree; knowledge base 收精日期：2011-11-23，修回日期：2012-01-10
作者第介：袁润（1983-），男，安激合肥人，博士研究生，主要从事概率安全评价与可靠性研究工作 74