Diagnosis Expert System, Neural Network-based Hydraulic Pump Failure

As the development of modem manufacturing and the improvement of production efficiency, malfunction diagnosis technology is 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 etc, people go deep into the investigation on malfunction diagnosis for rotating machine, especially those good-size ones. Relatively, malfunction diagnosis for hydraulic system has its goods 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 forms of hydraulic components. Basing on this knowledge, this paper designs a process surveillance system for hydraulic pump 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.