Elman网络和综合关联度在风机诊断中的应用  

Application of the Elman Network and the Synthetically Relational Analysis in Fault Diagno-sis for Suction Fan

作　　者：金宇华[1] 罗沛兰[2] 扶名福[2] 杨国泰[2] 

机构地区：[1]南昌江西消防车辆制造厂 [2]南昌南昌大学机电学院,江西330031

出　　处：《微计算机信息》2008年第10期213-214,共2页Control & Automation

基　　金：江西省科技厅攻关项目(2004100B100)

摘　　要：本文介绍了Elman网络和灰色关联分析的方法和理论,提出了综合关联度分析法,并将其用于风机故障诊断,对于同一组待检故障模式,用Elman网络和综合关联度分析法进行诊断。结果表明,综合关联度分析法对于风机故障诊断的可行性和简单性。The theory of Elman network and gray relational analysis was introduced, a method based on the synthetically relational analysis was presented and applied to Fault Diagnosis for Suction Fan. The same testing fault mode was diagnosed by the method of Elman network and the synthetically relational analysis. The result shows that the fault diagnosis based on the synthetically relational analysis is feasible and simple.

关 键 词：故障诊断 ELMAN网络 灰色关联分析 综合关联度 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]