一种基于多运行工况点的强鲁棒性燃气轮机非线性气路诊断方法

A Robust Gas- path Diagnostic Method for Gas Turbine Based on Multiple Operating Conditions

通常准确的气路测量信息对于获取准确的衰退特征从而实现准确的燃气轮机气路诊断至关重要。由于气路传感器同部件一样,其性能也可能会衰退甚至发生故障,而产生一定的测量偏差并引起误导性的诊断结果。为解决诊断准确性高度依赖气路传感器可靠性的问题,本文提出了一种基于高斯数据调和原理与多运行工况点相结合的非线性气路诊断方法。该方法能有效地降低部件健康参数对传感器测量偏差的敏感性,适用于存在测量偏差的离线气路诊断情况。

Usually it is essential to use correct measurement information to obtain correct fualt signature for producing accurate gas tur- bine gas-path diagnostic results. However, gas-path components as well as sensors may degrade or even fail during gas turbine opera- tions and then produce significant measurement biases which do not follow the Gaussian distribution and misleading diagnostic results may be obtained. Aiming at this problem, a methodology to improve the robustness of gas turbine gas-path fault diagnosis against sensor faults was proposed for the typical nonlinear GPA method. The approach can effectively reduce the sensitivity of component health pa- rameters to measurement biases, and is suitable for off-line gas-path diagnostic application with the existence of measurement biases.