作　　者： ; ; ; ;

机构地区： 中国人民解放军军械工程学院

出　　处： 《仪器仪表学报》 2005年第z1期617-619,共3页

摘　　要： 基于状态的维修(CBM,condition based maintenance)是设备(武器系统)预报初始故障的主动维修的一种形式[1],是装备或设备维修的重要发展方向,也是本世纪初国内外维修领域研究的热点课题。为进一步推进CBM理论的研究与应用,这里提出一种基于信息神经网络的状态维修。在分析CBM所包括内容基础上,介绍了信息神经网络的故障诊断原理,并针对自行火炮发动机进行了CBM的案例研究。通过实验表明,基于信息神经网络的故障方法对于状态维修具有良好的效果。 The condition based maintenance (CBM) is one of proactive maintenance that predicts equipment (weapon system) original failure, and an important tendency in the equipment maintenance, also the focus in the maintenance field at home and aboard in the early 21st century. In order to enhance CBM theory's research and application further more, a condition maintenance based on the information neural network (INN) is also presented. Based on analyzing the contents which CBM includes, it introduces the principle of fault diagnosis based on the INN, and the case is studied for self-propelled gun engine's CBM. The experiment has shown that it is effective for CBM to the method of fault diagnose based on the INN.

关 键 词： 信息神经网络 故障诊断 状态维修

领　　域： [机械工程] [机械工程]