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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...
Aimed at reliability model of hydraulic system of the vibratory roller, combined adaptive linear neural network technique with system reliability engineer theory, a way for parameter estimation of reliability model based on adaptive linear neural network was developed. The model parameters and function of reliability for the first fault time of hydraulic system of the vibratory roller was gained by...
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