摘要
从汽车自动变速器异响的故障征兆入手,基于人工神经网络中的BP网络建立汽车自动变速器的故障诊断模型,并利用MATLAB软件对其进行仿真训练,训练好的网络能准确锁定故障部位,以便更快更准确地分析和排除疑难故障。
The fault diagnosis model of abnormal noise in automobile automatic transmission is established based on BP network in the artificial neural networks with the failure feature. And the networks were trained using MATLAB software. The trained networks can determine abnormal position correctly to quickly analyze and eliminate faults.
出处
《农业装备与车辆工程》
2013年第2期22-25,共4页
Agricultural Equipment & Vehicle Engineering
