Fault Diagnosis System of the Fire Control System Based on Fuzzy Neural Network

Abstract:

the paper mainly solves the questions of real time fault detection and diagnosis for fire control system. Function structure and fault characteristics of the fire control system be hierarchical analyzed, through fault omen character and fault reason make up of fault stylebook, use neural network training to improve the fault diagnosis accuracy, select implication operator and calculate the fuzzy membership degree matrix of fault information, through hierarchical reasoning to complete fault recognition and confirm fault source to improve the diagnosis rate. The system is multifunctional which includes of state monitoring, fault diagnosis, diagnosis opinion, the distributed principal and subordinate structure design is propitious to improve reliability and adaptability of the system.

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 828-831
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.828
• Online since: December 2012
• Authors: Peng Jun Zhang, Yu Cheng Bo, Hui Yuan Wang, Qiang Li
• Keywords: Fault Diagnosis, Fire Control System, Fuzzy Membership, Implication Operator, Neural Network (NN)

References

[1] Gan Chuan-fu, Zhang Bin. Control of firepower and command, 2004,29(4):42-44.

[2] Liu Bao-fu,Zhang Ke,Liao Zhi-zhong,ect. Control of firepower and command, 2002,27(4):63-65.

[3] Xu Shu-bo. Analytic Hierarchy principle[M].Tian Jin: Tianjin University Press,1998:42-50

[4] Wang Yong-qing, Artificial Intelligence and Methods[M].Xi An: Xi'an Jiaotong University Press,199850-80

[5] Han Li-qun. The Theory of Artificial neural network, Design and Application[M].Bei Jing: Chemical Industry Press, 2002:60-80

[6] Zhang Yi-zhong. Computer simulation, 2000,17(4):39-42.