Study on Intelligent Fault Diagnosis of a Type of Ammunition’s Flight Control System Based on Fuzzy Theory

Article Preview

Abstract:

Fault symptom of a type of ammunition’s flight control system shows fuzzy, and there is no intelligent fault diagnosis method for this control system fault diagnosis. This paper studies on intelligent fault diagnosis of terminally guide projectile based on fuzzy theory. The procedure of fuzzy fault diagnosis is shown. Combining with the practical situation of a type of ammunition’s flight control system and a large quantity of expert’ experience knowledge, the fuzzy diagnosis model is established. After given fuzzy diagnosis matrix, fault diagnosis of a type of ammunition’s flight control system was done as example. It practicability and credibility is shown by fault diagnosis result, and application of fuzzy theory in diagnosing the fault of a type of ammunition’s flight control system is proved valid. Two piece of proposal is proposed after analyzing the function parameter changing of this control system stored in storehouse longtime.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

903-908

Citation:

Online since:

November 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yang Jun, Feng Zhensheng, Huang Kaoli, in: Intelligent fault diagnosis technology for Equipments, Defense Industry Publishers (2004), P. 74.

Google Scholar

[2] Hao Jun, Chang Yongfeng, Li Shufang etc: Application of fuzzy rule inference to intelligent fault diagnosis for one missile equipment. Vol. 32(2000) of Fire Control & Command Control, P. 145.

Google Scholar

[3] Zhou Zhiying: Application of fuzzy mathematical theory in automobile fault diagnosis. Vol. 19(2005) of Journal of Changsha University, P. 19.

Google Scholar

[4] Liu Hui, Zhou Zhiying: Malfunction diagnosis of diesel engine based on dynamic fuzzy diagnosis matrix[J], Vol. 26(2007) of Coal Technology, P. 114.

Google Scholar

[5] Peng Fei, Wang Xuezhi, Liu Jianjun: Study on fault diagnosis of equipment hydraulic system based on fuzzy theory, Vol. 2009(2009) of Machinery Design & Manufacture, P. 102.

Google Scholar

[6] Li Haicheng: Simulation-based fuzzy approach to transformer fault diagnosis, Vol. 14(1007) of Journal of Liaodong University(Natural Sciences), P. 94.

Google Scholar