燃气轮发电机组的故障诊断，实质上是一个模式分类问题。
Gas turbogenerator fault diagnosis can be treated as a pattern classification task.
分析说明了排气温度发生变化时，燃气轮发电机组的出力和热效率的变化比较显著。
The analysis shows that once the exhaust temperature changes, the changes of output and thermal efficiency for gas turbine set are significant.
本文以振动特征频谱为依据，提出了一种基于粗糙集理论的燃气轮发电机组故障诊断新方法。
According to vibration characteristic spectrum, a gas turbogenerator fault diagnosis approach based on rough set theory is proposed.
本文以振动特征频谱为依据，提出了一种基于粗糙集理论的燃气轮发电机组故障诊断新方法。
According to vibration characteristic spectrum, a gas turbogenerator fault diagnosis approach based on rough set theory is proposed.
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