摘要
为了提高传统小偏差方程组的诊断精度,提出了一套新的小偏差数学模型.在原有方法的部件特性变化量中引入修正因子,消除了匹配过程对计算结果的影响,使得新方法的计算结果更接近于真实部件变化量.将该模型应用于PG9171E型燃气轮机(燃机)的仿真结果表明:新数学模型能够更精确地反映测量参数和部件性能之间的关系;由该模型推导出的故障诊断矩阵可以提高测量参数预估与机组性能评定的精度.
To increase the accuracy of linear gas path analysis (GPA) method, a new method to evaluate the partial differential equations was presented. With recent research, parameter deviations caused by re- matching procedure is the main reason in the inaccuracy of simultaneous differential equations. Therefore, matching coefficients are introduced to isolate and eliminate these matching deviations with delta pressure ratios. The ICM yielded by the new method can both increase the accuracy of measurements prediction and parameter deviations estimation. By utilizing the computer model of the PG9171E engine, the new method is demonstrated.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2008年第3期385-388,共4页
Journal of Shanghai Jiaotong University
关键词
燃气轮机
影响系数矩阵
小偏差方程
gas turbine
influence coefficient matrices
equations of small changes