Research on Typical Fault Diagnosis of Hydraulic Pump Based on CSA Optimised RBF Network
Hydraulic pumps have high load characteristics and are widely used in hydraulic machines.In order to improve the typical fault diagnosis accuracy of hydraulic pump,a typical fault diagnosis method of hydraulic pump based on cuckoo search algorithm(CSA)optimised radial basis function(RBF)network is designed,and then experimental tests are carried out on the typical faults of hydraulic pump.The results show that:comparing PSO-RBF and UKF-RBF,it is found that the CSA algorithm has gained a significant improvement in the optimisation searching ability,and exhibits a high convergence effect.The CSA-RBF has the highest level of fault diagnosis,and the fault diagnosis has shrunk the overall time-consuming,and the average accuracy of the detection is able to reach more than 97％,which is a very high guarantee of accuracy.This method helps to improve the service life of the hydraulic pump and lays a certain theoretical foundation for the subsequent parameter optimisation.
hydraulic pumpfault diagnosiscuckoo search algorithmradial basis function
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