基于自适应神经网络的通风系统故障过程及其规律研究

首先对影响通风系统故障过程特征量进行了定义;然后通过对矿井通风系统故障过程及其改善和劣化状态的分析,建立了基于两参数的Weibull过程故障率函数,给出了系统故障过程改善和劣化的判别式;最后,基于自适应神经网络技术对通风系统的故障规律进行了仿真研究,并应用C 语言和Matlab语言强大的解算及绘图功能,求出了故障过程特征参数值,绘制了故障曲线.

Study on ventilation system failure process and failure regularity based on adaptive neuron network

The present paper aims to define the characteristic features that may influence its failures process of the coal mine ventilation firstly; and then set up failures rate function based on the Weibull process with two parameters, present the discriminator about failures process advancing and breaking down of it by mean of analyzing the ventilation system failures process and its recovery and worsen states; and at last, with the simulation method, studies the failures' rule of it based on the techniques of the adaptive neuron network, counted the character parameters' values of failures process and draw a the failures' curve by mean of the counting and drawing functions of (C++) and Matlab toolbox.