Application of Integrated Neural Network Information Fusion in Fault Diagnosis of one Missile Launching Control Unit

Xu De Cheng; Hong Li Wang; Bing Xu; Xue Dong Xue

doi:10.4028/www.scientific.net/AMM.427-429.2808

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Application of Integrated Neural Network...

Application of Integrated Neural Network Information Fusion in Fault Diagnosis of one Missile Launching Control Unit

Abstract:

Research and development of fault diagnosis system in application of integrated neural network information fusion is based on information fusion technology, with which preliminary analysis of equipment fault is made in different perspectives in terms of neural network, so as to identify the fault on the basis of fusion outcome. This technique is applied in fault diagnosis of one type of missile launching control unit, leading to sufficient use of various information and substantially increased fault diagnosis rate.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

2808-2812

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.2808

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Online since:

September 2013

Authors:

Xu De Cheng*, Hong Li Wang, Bing Xu, Xue Dong Xue

Keywords:

Fault Diagnosis, Information Fusion, Integrated Neural Network, Launching Control Unit

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* - Corresponding Author

References

[1] Zhou Huazhong, Ye Yinzhong, Modern Faul Diagnosis & Fault Tolerance Control［Ｍ], Beijing: Tsinghua University Press, (2000).

Google Scholar

[2] Wang Daoping, Zhang Yizhong, Fault Intelligent Diagnosis System［Ｍ], Beijing: Metallurgical Industry Press, (2001).

Google Scholar

[3] Jiao Licheng, Application & Realization of Neural Network [M], Xi'an: Xidian University Press, (1993).

Google Scholar

[4] Yu Heji, Chen Changzheng, Zhang Xing et al, Intelligent Diagnosis Based on Neural Network [M] , Beijing: Metallurgical Industry Press.

Google Scholar

[5] Liu Zhenjuan, Li Hongguang, Study of Fault Diagnosis Methodology with Hybrid Integrated Neural Network [J], Journal of Beijing University of Chemical Technology (Natural Science), 2003, 30(1): 65-68.

Google Scholar

[6] Zheng Zhiyun, Tan Tongde, Guo Chunyi, A Tentative Discussion on Non-destructive Test with Artificial Neural Network, Microcomputer Information, 2002, （6）27-29.

Google Scholar

[7] S J Julier. The Scaled unscented transformation [J]. In Proceedings of American control Conference, Anchorage, Ak, USA, May 2002. 6 4555-4559.

Google Scholar