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Intelligent fault diagnosis methodology of hydraulic traveling system for construction machinery

This paper established a simulation platform of intelligent fault diagnosis of traveling hydraulic system for multi-axle driving construction machinery using AMESim software. The corresponding parameter variations under the fault condition can be simulated by changing the parameters of related components in the simulation model, then the system response while the fault can be calculated so that fault sample data can be generated to train the Neural Network. Based on MATLAB, the fault diagnosis process was realized and the knowledge base was established. The simulation results illustrates that this method has the better precision, and can be used to realize the intelligent fault diagnose of traveling hydraulic system for construction machinery.