Diagnosis Expert System, Neural Network-based Hydraulic Cylinder Failure

As the development of modem manufacturing and the improvement of production efficiency, malfunction diagnosis technology id getting more and more important, so it is calling much more attention in this field. Having enough knowledge on subjects of kinematics, kinetics and signal process et-c, people go deep into the investigation on malfunction diagnosis for rotating machine, especially those good-size ones. Relatively, malfunction diagnosis for hydraulic system has itsvgoods in the windows, especially for hydraulic pump, and it hasn' t been widely used into the good-size equipment and product line.This paper regards the copper electrolyze anode product line under electricity-hydraulic controlling as its researching object and studies the technology on hydraulic malfunction diagnosis thoroughly, it also analyzes integrate the methods of malfunction diagnosis and the malfunction form of hydraulic components. Basing of this knowledge, this paper designs a process sufveillance system for hydraulic cylinder of anode product line, What's more this paper studies NN and expert system' s application" on malfunction diagnosis and tries to bet up a frame work, structure for the total product line' s hydraulic malfunction diagnosis.