Gas Path Diagnosis Based on Sigma Point Kalman Filter of Gas Turbine

Abstract

Abstract: Abstract： In this paper, the Sigma Point Kalman Filter for gas turbine was proposed to estimate health parameters and diagnose gas turbine fault. First, a discrete nonlinear mechanism model of gas turbine was established. Then, an improved Sigma Point Kalman Filter based on simplex sampling was designed and a gas path fault diagnosis system was developed on Simulink platform. The results of verification, including the single fault, compound faults, gradual faults as well as abrupt fault, show that the diagnosis system has accurate detection, stable tracking performance and good adaptability of fault mode and gas turbine operational conditions. This paper is meaningful for achieving online gas path fault diagnosis and advanced model based control.

Key words: Key words： gas turbine, gas path diagnosis, Kalman Filter, online diagnosis

CLC Number:

TK 39

HUANG Yikun,CHEN Meishan,ZHANG Huisheng,WENG Shilie. Gas Path Diagnosis Based on Sigma Point Kalman Filter of Gas Turbine[J]. Journal of Shanghai Jiaotong University, 2016, 50(04): 534-539.

References

［1］VOLPONI A J. Gasturbine engine health management: past, present, and future trends［J］. Journal of Engineering for Gas Turbines and Power, 2014, 136(5)： (051201)120. ［2］夏迪, 陈娇, 王永泓, 等. 基于热参数的燃气轮机故障诊断系统分析软件［J］. 上海交通大学学报，2009，43(2)： 283287. XIA Di, CHEN Jiao, WANG Yonghong, et al. Test rig for performance analysis based gas turbine diagnosis［J］. Journal of Shanghai Jiaotong University, 2009, 43(2): 283287 ［3］赵琳，王小旭，李亮，等. 非线性系统滤波理论［M］. 北京：国防工业出版社，2012. ［4］翁史烈. 燃气轮机性能分析［M］. 上海：上海交通大学出版社，1987. ［5］付云鹏, 黄宜坤, 张会生, 等. 一种考虑变几何特性的重型燃气轮机建模方法［J］. 动力工程学报，2014，34(3)： 200204. FU Yunpeng, HUANG Yikun, ZHANG Huisheng, et al. A modeling method for heavy gas turbines considering variable geometry characteristics［J］. Journal of Chinese Society of Power Engineering, 2014, 34(3): 200204. ［6］YU L J, CLEARY D J, CUDDIHY P E. A novel approach to aircraft engine anomaly detection and diagnostics［C］∥Aerospace Conference. Montana： IEEE，2004： 34683475. ［7］KONG C. Review on advanced health monitoring methods for aero gas turbines using model based methods and artificial intelligent methods［J］. International Journal of Aeronautical and Space Sciences, 2014, 15(2)： 123137. ［8］蒲星星. 基于模型的重型燃气轮机气路故障诊断研究［D］. 北京：清华大学机械工程学院， 2013. ［9］PINELLI M, SPINA P. Gas turbine field performance e determination: sources of uncertainties［J］. ASME Journal of Engineering for Gas Turbines and Power, 2002， 124(1)： 155160. ［10］夏迪，王永泓，翁史烈. 基于热参数的单轴燃气轮机非线性故障诊断方法［J］. 上海交通大学学报，2008，42(3)： 381384. XIA Di, WANG Yonghong, WENG Shilie. Nonlinear component fault diagnosis of one shaft gas turbine［J］. Journal of Shanghai Jiaotong University, 2008, 42(3): 381384. ［11］马怀腾. 虚拟仪器技术在燃气轮机热参数故障诊断中的应用研究［D］. 上海：上海交通大学机械与动力工程学院， 2013. ［12］MATHIOUDAKIS K, KAMBOUKOS P, STAMATIS A. Turbofan performance deterioration tracking using nonlinear models and optimization techniques［C］∥ASME Turbo Expo 2002: Power for Land, Sea, and Air. Amsterdam： American Society of Mechanical Engineers, 2002： 6573.

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