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4. 基于粗糙集和支持向量机的汽轮机振动故障诊断研究
Vibration Fault Diagnosis of Steam Turbine Generat
ing Unit Based on Rough Set and Support Vector M
turbine vibration; fault diagnosis; rough set; support vector machi
ne;
粗糙集理论是一种处理模糊和不精确性问题的新型数学工具,在数据挖掘、机器学
习、决策支持系统和模式识别等领域得到了广泛应用。本文以常见的汽轮机振动
故障为研究对象,介绍了汽轮机振动故障诊断系统的一般体系结构,总结了汽轮机
常见振动故障的典型征兆信息。引用粗糙集理论中属性约简的概念来简化机组振
动故障的频率特征,采用支持向量机分类的方法对机组振动故障进行诊断。研究基
于粗糙集理论和支持向量机的汽轮机振动故障诊断方法并提出了推理方法,最后
通过一个故障诊断实例,证明了基于粗糙集理论和支持向量机的汽轮机振动故障
诊断的有效性。
Rough set theory is a new mathematical means to deal with vagu
eness and uncertainty. It has been used in many fields such as d
ata mining, machine learning decision support system and pattern
recognition. This paper studied common steam turbine vibration f
aults and introduced the general architecture of the steam turbine
vibration fault diagnosis system and summed up the typical fault
premonition information of the common turbine vibration fault. Qu
oted in the concept of attribute reduction in the rough set ...