Research on Quantitative Fault Diagnosis for Hydraulic Cylinder of Rolling Mill
In order to accurately diagnose hydraulic cylinder faults in rolling mills,a quantitative fault diagnosis method for hydraulic cylinders is proposed.The quantitative fault diagnosis problem is formally formulated as a stochastic framework for evaluating health/fault states,and an architecture based on joint state parameter estimation is proposed.By establishing and analyzing the nonlinear dynamic model of hydraulic cylinders,the influence of time-varying parameters on state variables was revealed.The three fault modes of friction,internal leakage,and external leakage of hydraulic cylinders have been theoretically determined.This method can quantitatively diagnose these three fault modes simultaneously,and its performance has been evaluated through simulation.The results indicate that the average absolute percentage error in parameter estimation is less than 9%,thus verifying the effectiveness of the fault diagnosis method.