Research on Fault Diagnosis of Fork Lift Truck Hydraulic System Based on Artificial Neural Network

Abstract

The structure and algorithm of BP neural net were described, the realization process of the fault diagnosis of hydraulic system based on BP neural net was discussed. According to the experiment and test of fault of fork lift truck hydraulic system, the BP net has better learning function, high net convergence rate and high stability of learning and memory. The diagnosis results indicate that the presented diagnosis method has high reliability and can attain the expected results, which can be applied to fault diagnosis of hydraulic system.