Fault diagnosis of hydraulic system based on improved BP neural network technology

Abstract

A fault diagnosis model with BP network for a certain hydraulic system were described. The realization process of the fault diagnosis based on the improved BP algorithm was discussed. According to the experiment, the improved BP network has better learning ability, higher convergence rate ability and higher stability of learning and memory. The diagnosis results indicate that the presented diagnosis method has higher reliability and can attain the expected results, which can be applied to fault diagnosis of hydraulic system.

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Cite this paper

@article{Yinshuo2013FaultDO, title={Fault diagnosis of hydraulic system based on improved BP neural network technology}, author={Zhang Yinshuo and Xia Jun and Li Lei}, journal={Proceedings of 2013 2nd International Conference on Measurement, Information and Control}, year={2013}, volume={01}, pages={137-140} }