汽轮发电机组振动故障诊断的模糊输入方法  

The Fuzzy Inputing And Outputing Method in Vibration Fault Diagnosis of Steam Turbine-Generator Set

作　　者：李化[1] 孙才新[1] 胡雪松[1] 岳刚 王肯 

机构地区：[1]重庆大学电气工程学院,重庆400044 [2]重庆发电厂,重庆400053

出　　处：《重庆大学学报（自然科学版）》1999年第6期36-40,85,共6页Journal of Chongqing University

摘　　要：针对汽轮发电机组振动故障的特点，构造了一模糊神经网络（ＦＮＮ）诊断模型，讨论了网络的多种模糊化输入、输出方式，并对两种模糊输入方法进行了对比分析。最后运用该诊断方法与传统的ＢＰ网络诊断方法进行比较。结果表明：模糊神经网络诊断方法对汽轮发电机组振动故障的识别是有效的，且在分类模糊边界数据时优于ＢＰ网络诊断方法。A fuzzy neural network diagnosis model is established on the basis of the vibration failure features of steam turbine-gernerator set, two kinds of fuzzy inputing method are discussed. At last, the performance of the fuzzy neural network is compared with that of the conventional BP network. The results show that the method presented is suitable for identifying the vibration failure of steam turbine-gernerator set, and it is more efficient in deal with the uncertain data than BP network diagnosis.

关 键 词：故障诊断 汽轮发电机组 模糊输入法 振动故障 

分 类 号：TM311.071[电气工程—电机]