| The running situations of the rake have direct influence on the production quality and yield of Sintering Plant,as the key equipment in mix reclaimer field,it plays an extremely important role in steel production scale expansion and development.In this paper,rake hydraulic system is the research object for the study,starting from the rake hydraulic system fault diagnosis and optimization,studying fault diagnosis expert system and system optimization of high-speed heavy equipment.The current development of the expert system fault diagnosis methods and the development status of reliability optimization were briefly described,the significance and role of research on rake hydraulic system fault diagnosis expert system developing reliability optimization were also pointed out,the urgency of studying expert system and developing system optimization was illustrated,at the same time revealing the shortcomings of the traditional hydraulic fault diagnosis expert system on structural layout and mechanism deduction limitations.Then,by analyzing the causes and effects of rake hydraulic systems and components,finding out the solutions,integrating various fault phenomena and the corresponding solutions for the knowledge base,at the same time setting up a complete theoretical reasoning mechanism,and the knowledge base and reasoning mechanism are stored in the knowledge database.Using C ++ programming language to the database to obtain a user-friendly,easy to use rake hydraulic system fault diagnosis expert system software.While taking advantage of the expert system software in the hydraulic system of rake to diagnose the fault of the movement in only one direction and finding out the fault point and solution,and the diagnosis results agree with the diagnosis of actual on-site results.Finally,reliability optimization design was carried out on rake hydraulic system,taken redundancy technology and optimization principles into consideration to establish rake hydraulic system reliability model,the reliability objective function of the system was solved by constraints of the costs,maintenance time,volume and weight.Four possible options were obtained by MATLAB programming.A factory has chosen A plan according to the actual needs,and running well. |