摘要
针对BP神经网络在挖掘机液压系统故障诊断中的问题,提出一种基于ACA-BP算法的挖掘机液压系统故障诊断方法。首先利用蚁群算法对神经网络的初始权值和阈值进行训练,进行BP神经网络模型的训练,建立故障诊断模型。通过挖掘机液压系统故障诊断仿真实例分析,验证了ACA-BP算法在挖掘机液压系统的故障诊断中的有效性。
Aiming at the problem of BP neural network in the fault diagnosis of excavator hydraulic system,a fault diagnosis method of excavator hydraulic system based on aca-bp algorithm is proposed.Firstly,the initial weights and thresholds of the neural network are trained by ant colony algorithm,and the BP neural network model is trained to establish the fault diagnosis model.The validity of ACA-BP algorithm in the fault diagnosis of excavator hydraulic system is verified by the simulation analysis of excavator hydraulic system fault diagnosis.
作者
莫明慧
黄玉森
MO Ming-hui;HUANG Yu-sen(Xi'an University of Architecture and Technology,Xi'an 710000,China)
出处
《工程建设与设计》
2020年第13期137-140,共4页
Construction & Design for Engineering
基金
国家自然科学基金资助项目(51774228)
陕西省自然科学基金资助项目(2017JM5043)
陕西省教育厅专项科研计划项目(17JK0425)。
关键词
BP神经网络
蚁群算法
故障诊断
挖掘机液压系统
BP neural network
ant colony algorithm
fault diagnosis
excavator hydraulic system
