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基于神经网络的拖拉机可靠性模型的参数估计
引用本文:敖长林,郑先哲,谢里阳,戴有忠.基于神经网络的拖拉机可靠性模型的参数估计[J].农业机械学报,2004,35(3):31-33.
作者姓名:敖长林  郑先哲  谢里阳  戴有忠
作者单位:1. 东北大学机械工程博士后流动站,博士后,副教授,东北农业大学,,110006,沈阳市
2. 东北农业大学工程学院,副教授,150030,哈尔滨市
3. 东北大学机械工程与自动化学院,教授,博士生导师
4. 东北农业大学工程学院,教授,博士生导师
基金项目:黑龙江省自然科学基金资助项目 (项目编号 :F0 3 11)
摘    要:针对拖拉机可靠性模型,应用数学方法和人工神经网络系统理论,提出了基于自适应线性神经网络的可靠性模型参数估计方法,并用该方法给出了拖拉机首次故障时间可靠性模型参数估计,得到了拖拉机首次故障时间的可靠度函数。

关 键 词:人工神经网络  拖拉机  可靠性模型  参数估计
修稿时间:2002年9月29日

Parameter Estimation of a Tractor Reliability Model Based on Artificial Neural Network
Ao Changlin,Xie Liyang.Parameter Estimation of a Tractor Reliability Model Based on Artificial Neural Network[J].Transactions of the Chinese Society of Agricultural Machinery,2004,35(3):31-33.
Authors:Ao Changlin  Xie Liyang
Institution:Ao Changlin Xie Liyang(Northeastern University)Zheng Xianzhe Dai Youzhong(Northeast Agricultural University)
Abstract:A new way for parameter estimation of reliability model based on adaline neural network was developed by means of mathematical analysis and theory of artificial neural network with Matlab. The result obtained from the simulation of the Exp model and Weibull distribution is better than those from other methods,including the regress analysis and the reliability paper for the common reliability model in engine reliability. The model parameters and function of reliability for the first fault time of a tractor were gained by this means. The parameters estimation of the reliability model could be quickly obtained if the life data of the known probability distribution was input to the model of the artificial neural network.
Keywords:Tractors  Reliability model  Artificial neural network  Parameter estimation
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