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| Gas Path Diagnosis Based on Sigma Point Kalman Filter of Gas Turbine |
| HUANG Yikun,CHEN Meishan,ZHANG Huisheng,WENG Shilie
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| (Key Laboratory for Power Machinery and Engineering of the Ministry of Education,
Shanghai Jiaotong University, Shanghai 200240, China) |
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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.
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Received: 04 April 2015
Published: 28 April 2016
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