摘要
BP神经网络具有结构简单、工作状态稳定、易于硬件实现等优点,在模式识别及分类、系统仿真、故障智能诊断、图像处理、函数拟合、最优预测等方面具有很广泛的应用。液压系统是挖掘机很重要的组成部分。由于液压系统结构复杂,容易发生故障,一旦故障将会直接影响挖掘机的使用,因此对挖掘机液压系统的可靠性和可维护性具有很高的要求。针对上述问题,提出了基于BP神经网络的液压系统故障诊断方法。
BP neural network has the advantages of simple structure, stable working state, easy hardware implementation and so on. It has a wide range of applications in pattern recognition and classification, system simulation, fault intelligent diagnosis, image processing, function fitting, optimal prediction and so on. Hydraulic system is a very important part of excavator. Due to hydraulic system structure complex, prone to failure, and the failure will directly affect the use of the excavator, it has a very high request in the reliability and maintainability of excavator hydraulic system. According to the above problem, this paper presents a hydraulic system fault diagnosis method based on BP neural network.
出处
《煤矿机械》
北大核心
2013年第11期284-286,共3页
Coal Mine Machinery
关键词
BP神经网络
挖掘机
液压系统
故障诊断
BP neural network
excavator
hydraulic system
fault diagnosis
