Research on an Intelligent Maintenance Decision-making Support System  

作　　者：YANGMing-zhong HUANGJin-guo ZANGTie-gang 

机构地区：[1]SchoolofMechanical＆ElectronicEngineering,WuhanUniversityofTechnologyWuhan430070,P.R.China

出　　处：《International Journal of Plant Engineering and Management》2004年第2期85-90,共6页国际设备工程与管理（英文版）

摘　　要：A new synthetic model of maintenance decision-making, which is made by anartificial neural network (ANN) , expert system (ES) and emulation technology, is put forward. Bymeans of this model all kinds of maintenance resources with low cost can be effectively harmonized;accordingly, the reliability, maintenance efficiency and quality of equipment can be improved, soservice life of equipments is enhanced.A new synthetic model of maintenance decision-making, which is made by anartificial neural network (ANN) , expert system (ES) and emulation technology, is put forward. Bymeans of this model all kinds of maintenance resources with low cost can be effectively harmonized;accordingly, the reliability, maintenance efficiency and quality of equipment can be improved, soservice life of equipments is enhanced.

关 键 词：fault diagnosis neural network expert system intelligent decision-making 

分 类 号：TH17[机械工程—机械制造及自动化] TP18[自动化与计算机技术—控制理论与控制工程]