故障预测技术在武器装备中的应用及发展  

Application of Fault Prediction Technology in Weaponry and Its Development

作　　者：王昌荣 赵玉龙[2] 蒋有才[2] 

机构地区：[1]北京军区66176部队 [2]军械工程学院火炮工程系

出　　处：《价值工程》2015年第5期41-43,共3页Value Engineering

摘　　要：随着高技术武器装备的相继列装,对新装备进行有效的状态监控和故障预测就成为技术保障的重点。为了使装备保障人员更好的了解故障预测技术及其作用,简要介绍了故障预测技术及其类别。重点总结了故障预测技术在武器装备中的应用现状,主要包括专家系统、灰色模型、神经网络、支持向量机以及其他一些故障预测方法在装备故障预测中的应用。通过总结当前的研究成果,指出了故障预测技术今后发展的若干方向。As the force is being equipped with certain high-tech weaponry,it is necessary to monitor condition and predict fault for new equipment,it is also the important content of technology support. In order to help equipment support personnel have a better understanding of fault prediction technology and its function,this paper briefs the fault prediction technology and its category, emphatically summarizes the application of fault prediction technology in existing equipment,including the application of expert system,grey model, neural network,support vector machine and some other methods. By summarizing the current research,several directions for further development are provided.

关 键 词：武器装备 故障预测 灰色模型 神经网络 支持向量机 

分 类 号：TH17[机械工程—机械制造及自动化]