| Intelligent diagnosis technology which is used to improve the gun artillery combat capability is of great significance.Currently traditional diagnostic monitoring techniques are used for diagnosis of gun, such as oil analysis, signal analysis and virtual prototyping technology, which are less efficient for solving the artillery complex fault. Therefore intelligent diagnosis technology is used for artillery systems in this article.According to different fault of the artillery, Three kinds of intelligent diagnosis technology will be used to conduct a comprehensive diagnosis for gun system and improve the diagnostic accuracy in this article. Fuzzy comprehensive diagnosis technology is based on fuzzy comprehensive evaluation of artillery fault phenomena and failure cause to diagnosis,which is used in artillery main subsystem (reverse recoil device, gun bolt, automatic filling system, etc.). GA-BP Network Diagnostics technology is based on the input-output mapping relationship formed by the artillery monitoring fault parameters and the cause of the problem,which mainly used in in smaller artillery subsystem or parts (such as recoilabsorber). And expert system based on case for diagnosis is through matching and searching for the artillery fault case to diagnosis. Matlab is used to establish the fuzzy diagnosis model of reverse recoil too long,and GA-BP network diagnosis model of recoil mechanisms,otherwise, the gun expert diagnosis system structure design is completed in this articleBy using intelligent diagnosis technology, state monitoring and intelligent diagnosis system for artillery is developed and designed in VB platform. The design of man-machine interface, including GA-BP network diagnostic interface, expert system diagnostic interface, and fuzzy comprehensive fault diagnosis interface, etc. VB and Matlab hybrid programming was done, which realized that VB calls matlab diagnostic program. Finally, the core of system-database has been designed,and database features such as sharing, editing have been completed. |