基于多源信息融合方法的透平机组低频故障快速判别技术  

A rapid identification technology of turbine low frequency faults based on multi-source information fusion method

作　　者：金颖 郎博[1,2] 温广瑞[1,2] 印建安 陈余平 候新军 

机构地区：[1]西安陕鼓动力股份有限公司售后服务部,西安710075 [2]西安交通大学,西安710049

出　　处：《工业仪表与自动化装置》2013年第6期24-28,共5页Industrial Instrumentation & Automation

基　　金：国家高技术研究发展计划(863)项目资助(2012AA040913)

摘　　要：阐述了透平机组低频故障的流体激励与油膜涡动、油膜振荡故障相似与相异的故障特征,结合可依靠的全息谱,提出了快速诊断判别这两类故障的一种新技术方法,通过大量的研究与实践把这种反向推论应用到透平机组的现场故障快速处理中,总结出多个案例与大家共享。This paper expounded two similar low frequency faults feature of turbine, such as flow ex- citation, oil whip. Based on holospectrum analysis, a new fault diagnosis approach is proposed for distin- guish this two kinds faults. Through in - depth theoretical research and rough analysis of practical cases, it applied this mothod into fault diagnosis of turbine. And two examples has been given to prove the feasi- bility of this method.

关 键 词：透平机组 低频故障 流体激励 油膜类故障 快速诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]