Research on Fault Knowledge Acquisition Base of Circuit Simulation

Abstract:

To resolve bottle-net problem of knowledge acquisition of fault diagnoses expert system. This paper make use of circuit simulation software Multisim2001module modeling and simulating, acquiring fault data of electric control circuit of missile launching vehicle, acquiring correspondence relation of function-fault, establishing knowledge base of intelligent diagnostic expert system, affording a new thought to resolve knowledge acquisition of expert system. The fault diagnosis expert system is based on the knowledge base, but many fault diagnosis expert systems face the same problem: the knowledge of fault and fault maintenance is very poor. This causes many of intelligent fault diagnosis systems are still in the theoretical research or prototype design stage, and its use value is low, therefore, how to gain more significant and enough knowledge has turned to be the bottleneck which confine the engineering operational capability of fault diagnosis system[1] . This article will build an electrical system dynamic operational model of some equipment by circuit simulation. And it will do the direct current analysis, transient analysis etc. for the circuit by the software’s powerful analyze ability, include the setting of some devices’ voltage value, current value and test point, and gain the simulation parameters of normal conditions and fault conditions. Then lead these data into the database so as to the system to call and search, and confirm the fault node finally [2, 3]. The function simulation which is mentioned in this article is an ingredient of the equipment system simulation; structure simulation and movement simulation are also like it. And it contains system-level simulation, part-level simulation and component-level simulation in the hierarchical division. Because of the limited space, this article just considerate the electricity circuit simulation’s application in the fault knowledge acquisition, which is belong to the function simulation.

• Periodical: Advanced Materials Research (Volumes 490-495)
• Pages: 1763-1766
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.490-495.1763
• Online since: March 2012
• Authors: Gui Ming Tao
• Keywords: Circuit Simulating, Expert System, Knowledge Acquisition

References

[1] Lian Shiyou, An Introduction to Artificial Intelligence Techniques[M], XiDian University Press, (2000).

[2] Zhang Ping, Wang Guizeng, Fault Diagnosis Techniques for Dynamic Systems[M], (2000).

[3] Mao Zhe, Zhang Shuangde, Circuits Design, Simulation, and Test Using Computer [M], Press of Huazhong University of Science and Technology.

[4] Zheng Busheng, An Introduction to and Applications of Circuits Design and Simulation Using Multisim2001 [M], Publishing House of Electronics Industry, (2002).