基于神经网络的拖拉机可靠性模型的参数估计

Parameter Estimation of a Tractor Reliability Model Based on Artificial Neural Network

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。

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.