A GPA DIAGNOSTIC SYSTEM FOR AERO ENGINE APPLICATIONS
Among gas turbine gas path diagnostic techniques, Gas Path Analysis (GPA) and its different derivatives are one of the most effective techniques and have been used successfully in industries. In the applications of Gas Path Analysis, it has been recognized for a long time that GPA would be very effective if the a priori information of degraded components is available and gas path measurements are noise and bias free.Unfortunately, these conditions are difficult to meet in real scenarios. In this research, a GPA diagnostic system enhanced with GPA Index is described for gas path sensor and component fault diagnosis. A method of measurement correction is used in order that the measurement data obtained at un-standard ambient and operating conditions can be used for diagnostic analysis. The developed diagnostic system has been implemented into a Cranfield University gas turbine performance and diagnostic analysis software PYTHIA for gas turbine performance degradation analysis. The developed method and software have been applied to a model aero gas turbine engine to test the effectiveness of the system. The analysis shows that the developed diagnostic system can diagnose degraded sensor and components effectively using performance deviation measured at un-standard ambient and operational conditions. Theoretically, the idea of the diagnostic approach can be applied to different gas turbine engines.
Yi-Guang Li
School of Engineering, Cranfield University, Cranfield, Bedford MK43 0AL, England
国际会议
昆明
英文
654-663
2006-09-18（万方平台首次上网日期，不代表论文的发表时间）