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中文摘要: 基于“模式识别”思想，本文提出了一种基于余弦定理的重型燃气轮机燃烧室故障诊断方法。该方法通过用余弦角度表征燃烧室正常及不同故障下的透平出口温度分散度，从而可以让真正的燃气轮机燃烧室故障和传感器本身故障能够被快速识别并区分出来，最后以GE公司的6FA重型燃气轮机为对象进行了数字仿真验证，试验结果表明该方法具有良好的诊断精度和实时性。
Abstract:Based on the concept of " pattern recognition "， this paper proposes a fault diagnosis method of heavy gas turbine combustions based on the law of cosines. By using cosine angle to characterize turbine outlet temperature dispersion under normal and different faults,failures of gas turbine combustion and sensor can be quickly identified and distinguished. Finally,this algorithm has been verified in the GE 6FA heavy duty gas turbine under simulation platform. The experimental results show that the method has good diagnostic accuracy and real-time performance.
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作者.题名[J].刊名,出版年份,卷号(期号):起止页码.
[2]KIM K M, PARK J S, DONG H L, et al. Analysis of conjugated heat transfer, stress and failure in a gas turbine blade with circular cooling passages[J]. Engineering Failure Analysis, 2011, 18(4):1212-1222.
作者.题名[J].刊名,出版年份,卷号(期号):起止页码.
[2]KIM K M, PARK J S, DONG H L, et al. Analysis of conjugated heat transfer, stress and failure in a gas turbine blade with circular cooling passages[J]. Engineering Failure Analysis, 2011, 18(4):1212-1222.