Application of fuzzy neural network in fault diagnosis of hydraulic system

Hydraulic system is a complex mechanical-electronic-hydraulic system, its faults have multiple, uncertain and hidden features. Through embedding sensors in the hydraulic system, the paper can real-time monitor the status of the system. At the same time, through making full use of information processing capability of fuzzy theory and self-learning and function approximation capability of neural network, the paper could integrate the state parameters and diagnose faults of hydraulic system. With simulation example, the paper can find that application of fuzzy neural network in fault diagnosis of hydraulic system has advantages of simple operation, high reliability and high automatization.