期刊文献+

汽轮发电机组转子振动故障的模糊聚类分析 被引量:2

Fuzzy Set Analysis of Turbine Rotator Vibration Malfunction
下载PDF
导出
摘要 针对汽轮发电机组多个振动故障与多个振动信号之间综合关系研究的不足,阐述了模糊聚类分析的理论、方法及聚类效果的判别原则,并将其应用于汽轮发电机组转子振动故障的诊断研究中.提出了合适的聚类参数,从而对多故障发生与多故障特征情况下的故障进行分层,指出应优先诊断的范围,从而使诊断工作量和诊断时间大为减少.理论计算与现场检查结果相符,并且与神经网络方法相比。 For the deficiency of the research on the relationship between multi malfunctions and multi portents, fuzzy set analysis theory and method were described and applied to the diagnosis of turbine rotator vibration malfunction. According to the fuzzy set judgement principle and the fuzzy set parameters proposed in this paper, the malfunction classification and prior diagnosis range among multi malfunctions and multi portents were presented. The fuzzy set calculation result is in good agreement with the actual inspection one. Compared to the neural network method, the diagnosis work and time are decreased greatly.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 1999年第8期1051-1054,共4页 Journal of Shanghai Jiaotong University
关键词 转子 故障诊断 模糊聚类分析 汽轮发电机组 振动 turbine rotator malfunction diagnosis fuzzy set analysis malfunction classification prior diagnosis range
  • 相关文献

参考文献6

二级参考文献5

共引文献11

同被引文献17

引证文献2

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部