期刊文献+

混合系统基于模型诊断建模问题研究 被引量:1

Modeling Hybrid System in MBD
下载PDF
导出
摘要 基于模型的诊断是为了克服传统故障诊断方法的缺点而兴起的一项新型的智能诊断推理技术,其应用越来越广泛。而混合系统是当前应用较多的动态系统之一,其故障诊断问题是当前研究领域的热门。在此介绍两种对混合系统进行诊断的建模方法,并对这两种建模方法进行比较找出各自适用方向,特别是应用MBD技术对混合系统进行诊断的建模方法,根据对实际航天生态系统建模说明混合键合图基本原理,为进一步进行基于模型的故障检测和故障追踪直至故障隔离和鉴别提供基础模型。 Model-based diagnosis (MBD) is a new type of intelligent reasoning technology,which can overcome the shortcoming of the traditional fault diagnosis methods, and is widely applied. And hybrid system is one of the current dynamic systems. The research introduces two kinds of modeling method, which apply MBD technology to the diagnosis of the hybrid system,and presents the solutions to the problems. Through the modeling of the hybrid system with the Hybrid Bond Graph, this research provides a basic model for fauk-testing,fault tracing and detection,fault isolation and identification.
出处 《广西师范大学学报(自然科学版)》 CAS 北大核心 2008年第2期85-88,共4页 Journal of Guangxi Normal University:Natural Science Edition
基金 国家自然科学基金重大项目(60496320,60496321) 国家863计划基金资助项目(2003AA118020) 新世纪优秀人才支持计划基金资助项目 吉林省科技发展计划基金资助项目(20060532)
关键词 基于模型诊断 混合键合图 混合系统建模 故障诊断 model-based diagnosis hybrid bond graph modeling of hybrid systems fault diagnosis
  • 相关文献

参考文献11

  • 1REITER R. A theory of diagnosis from first principles[J]. Artificial Intelligence, 1987,32 (1) : 57-95.
  • 2GERTLER J. Fault detection and diagnosis in engineering systems[M]. New York :Marcel Dekker, 1988.
  • 3HAMSCHER W,CONSOLE L,KLEER D J. Readings in model-based diagnosis [M]. San Mateo,CA:Morgan Kaufmann,1992.
  • 4赵相福,欧阳丹彤.动态系统基于模型诊断的研究进展与展望[J].仪器仪表学报,2005,26(z2):599-602. 被引量:7
  • 5SAMPATH M ,SENGUPTA R,LAFORTUNE S,et al. Failure diagnosis using discrete-event models[J]. IEEE Trans Control Syst Teehnol, 1996,4 (2) : 105-124.
  • 6LUNZE J,SCHRODER J. Sensor and actuator fault diagnosis of systems with discrete inputs and outputs[J]. IEEE Trans Syst,Man,Cybern,2004,34(2) :1096-1107.
  • 7MOSTERMAN P J,BISWAS G. Diagnosis of continuous valued systems in transient operating regions [J]. IEEE Trans Syst,Man,Cybern,1999,29(6) :554-565.
  • 8PATTON R J,FRANK P M,CLARK R N. Issues of fault diagnosis for dynamic systems[M]. London:Springer Verlag, 2000.
  • 9RABINER L R. A tutorial on hidden markov models and selected applications in speech recognition[J], Proceedings of the IEEE, 1989,77 (2) : 257-286.
  • 10MOSTERMAN P J,BISWAS G. Model based diagnosis of dynamic systems[C]//7th Journess du L I P N. [S. l.]: [s. n.], 1997 : 143-154.

二级参考文献22

  • 1[2]Dvorak D,Kuipers B. Model-based monitoring of dynamic systems. Proc. 11th IJCAI, 1989,1238 ~ 1243.
  • 2[3]DeCoste D. Dynamic across-time measurement interpretation. AI, 1991,51 (1-3) : 273~ 341.
  • 3[4]Mosterman P,Biswas G. Model based diagnosis of dynamic systems. 7th Journess du L. I. P. N, 1997,143~154.
  • 4[5]Narasimhan S, Biswas G. An approach to model-based diagnosis of hyhrid systems. LNCS, 2002, 2289:308 ~322.
  • 5[6]Rinner B, Weiss U. Online monitoring by dynamically refining imprecise models. IEEE Transactions on Systems, 2004,34 (4): 1811 ~ 1822.
  • 6[7]Abad P,Suárez A,et al. Using supervised learning techniques for diagnosis of dynamic systems. DX'02,2002.
  • 7[8]Pulido B, González C. Possible conflicts: a compilation technique for consistency-based diagnosis. IEEE Transactions on Systems, 2004,34 (5): 2192 ~ 2206.
  • 8[9]Garza L, Cantu F, et al. Faults diagnosis in industrial processes with a hybrid diagnostic system. MICAI,2002,536~545.
  • 9[10]Friedrich G, Franz L. Diagnosing temporal misbehavior. Proc. 13th IJCAI,1991,1116~1122.
  • 10[11]Console L,Torasso P. On the co-operation between abductive and temporal reasoning in medical diagnosis. AI in Medicine, 1991,3(6): 291~311.

共引文献6

同被引文献20

  • 1De Kleer J, Kurien J. Fundamentals of model based diagnosis[C]//Proceeclings of the Fifth IFAC Symposium on Fault Detection, Supervision, and Safety of Technical Processes, 2003: 25-36.
  • 2Witsenhausen H S. A class of hybrid-state continuous time dynamic systems[J]. IEEE Trans on Automatic Control, 1966, 11(6): 665-683.
  • 3Cellier F E. Combined continuous/discrete system simulation by use of digital computer: techniques and tools[D]. Zurich, Switzerland: Swiss Federal Institute of Technology, 1979 : 65-76.
  • 4Golli A,Varaiya P. Hybrid dynamical systems[C]//In Proc of the 28th IEEE Conference on Decision and Control,Tampa, Florida, USA, 1989: 2708-2712.
  • 5Narasimhan Sriram, Biswas Gautam. Model based diagnosis of hybrid systems[J]. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, 2007, 37(3):348-361.
  • 6Mosterman P J. Hybrid dynamic systems: a hybrid bond graph modeling paradigm and its application in diagnosis[D]. Nashville, Tennessee: Verderbilt University, 1997:54-68.
  • 7Mosterman P J, Biswas G. Building hybrid observers for complex dynamic systems using model abstractions[C] // International Conference on Bond Graph Modeling and Simulation,San Francisco, California, USA,1999 : 157-162.
  • 8Garza I. E, Cantu F J, Acevedo Salvador. Faults diagnosis in industrial processes with a hybrid diagnostic system[J]. LNCS,2002,2313: 219-231.
  • 9I.erner U, Parr R, Koller D, et al. Bayesian fault detection and diagnosis in dynamic systems [C]// Proc of the 17th National Conference on Artificial Intelligence (AAAI), Austin, Texas, 2000: 531- 537.
  • 10Peng Z, Wang W H, Zhou D H. Diagnosis of sensor and actuator faults of a class of hybrid systems based on semi qualitative method[C]//Proc of 2004 World Congress on Intelligent Control and Automation, Hangzhou, China, 2004:14-18.

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部