矢量拟合方法在燃气轮机涡轮叶片故障监测中的应用

Applications of the Vector Fitting Method in Monitoring Blade Faults of Gas Turbines

减少燃气轮机系统故障的发生是实现燃气轮机安全运行的前提。涡轮叶片是燃机的重要部件,长期工作在恶劣的环境中极易出现故障。涡轮叶片发生的故障通常可通过温度表现出来。本研究对不同工况下燃气轮机涡轮叶片上的温度信号分布进行了研究,重点分析温度信号的特征,对数据进行相应的处理,并且通过矢量拟合的方法,得出叶片在不同的工作环境下的温度数据方程,从而达到检测故障的作用,为涡轮叶片故障的在线监测奠定了基础。

To reduce the occurrence of any faults in gas turbine systems is regarded as the precondition for realizing safe operation of gas turbines. Turbine blades are important parts and components in gas turbines and also one of parts operating in a stern environment. Any faults of the turbine blades usually reflect in changes of temperature. The distribution of temperature signals on the blades of a gas turbine was studied with an emphasis being placed on the characteristics of the temperature signals and the data being properly processed. By adopting the vector fitting method,a temperature data equation for blades in various operating environments was obtained,thus achieving an objective to detect any faults and offering a basis for an on-line detection of any faults in blades of gas turbines.