论文部分内容阅读
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 condition and easy hardware realization. It has a wide range of applications in pattern recognition and classification, system simulation, fault diagnosis, image processing, function fitting and optimal prediction. Hydraulic system is an important part of the excavator. Due to the complex structure of the hydraulic system, easy to malfunction, once the fault will directly affect the use of excavators, excavator hydraulic system reliability and maintainability with high demand. In view of the above problems, a hydraulic system fault diagnosis method based on BP neural network is proposed.