摘要
以底盘外部信息和底盘内部测试信息,分别对轮式底盘进行状态评价,均有各自缺陷,故将底盘外部信息进行定性分析各自权重、对相应总成的内部测试信息进行预处理,然后相结合,利用神经网络建立预测模型,得到较准确的底盘状态概率,为进一步保障提供依据。
Limitation always exists in the wheel-type chassis estimation which is based on exterior information or interior information. By qualitative analyzing each weight, pretreating the testing information of related assembly, combing information, a prediction model based on neural network is built. It gets the more exact probability for wheel-type chassis, and provides basis for further equipment support.
出处
《农业装备与车辆工程》
2012年第6期38-41,共4页
Agricultural Equipment & Vehicle Engineering
关键词
状态预测
轮式底盘
柴油机
神经网络
condition prediction
wheel-type chassis
diesel engine
neural network.
