基于人工神经网络的齿轮胶合承载能力及其可靠度计算方法研究  

A study on calculation method for the loading capacity of engaged gear and its reliability based on artificial neural network

作　　者：杨绍奎[1] 孟惠荣[1] 张福田[2] 

机构地区：[1]中国矿业大学北京校区 [2]中国北方车辆研究所

出　　处：《机械设计》1999年第6期7-9,共3页Journal of Machine Design

基　　金：国家自然科学基金

摘　　要：本文将人工神经网络用于传动齿轮胶合承载能力及其可靠度计算，为探索人工神经网络在机械设计中的应用进行了有益的尝试。将该方法用于某履带车辆行星变速装置行星排外啮合传动齿轮的胶合承载能力及其可靠度计算，并和常规方法比较，说明该方法是正确可行的。The artificial neural network is being put in use in this paper for the calculation on loading capacity of engaged gear transmission and its reliability,and a beneficial attempt has been carried out for exploring the application of artificial neural network to machine design.The method has been put in use on the calculation of meshing loading capacity and reliability of planetary rows of outer engaged gear transmission in a planetary gearshift device of a certain tracked vehicle.A comparison is made with the conventional method shows that this method is correct and feasible.

关 键 词：人工神经网络 齿轮传动 胶合承载能力 可靠度 

分 类 号：TH132.41[机械工程—机械制造及自动化]