基于灰色关联度的汽轮机故障智能诊断研究  

The Study of Fault Intelligent Diagnosis for Turbine Based on Gray Relational Degree

作　　者：谢三毛[1] 

机构地区：[1]华东交通大学机电工程学院,南昌330013

出　　处：《汽轮机技术》2009年第6期465-467,共3页Turbine Technology

摘　　要：介绍了基于灰色关联度的汽轮机故障智能诊断机理,分析了如何建立典型故障参考模式特征向量矩阵。通过计算待识别故障模式与典型故障参考模式的关联度序列,比较关联度的大小,从而确定故障类型。应用Matlab软件计算关联度,同时采用Matlab中的GUI可视化界面输出诊断结果,使诊断系统操作简单、直观。The paper introduces the fault intelligent diagnosis principle of turbine, analysises how to create the characteristic vector of typical faults model. The fault type is definited by calculating the gray relational degree of collecting fault model and typical faults model and comparing with the size of the gray relational degree. This system uses Matlab software to calculate the gray relational degree and uses the GUI visualization interface to output the diagnosis resulte . It makes the diagnosis system operating easily and direct-viewing.

关 键 词：特征向量 灰色关联度 汽轮机 智能诊断 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]