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Wang Yinan, Feng Guolong, Chen Yuzhi, et al. Research on gas path fault diagnosis method of intercooled recuperated turbofan engine based on nonlinear model[J]. Journal of Aerospace Power, 2026, 41(X):20250053 doi: 10.13224/j.cnki.jasp.20250053
Citation: Wang Yinan, Feng Guolong, Chen Yuzhi, et al. Research on gas path fault diagnosis method of intercooled recuperated turbofan engine based on nonlinear model[J]. Journal of Aerospace Power, 2026, 41(X):20250053 doi: 10.13224/j.cnki.jasp.20250053

Research on gas path fault diagnosis method of intercooled recuperated turbofan engine based on nonlinear model

doi: 10.13224/j.cnki.jasp.20250053
  • Received Date: 2025-01-28
    Available Online: 2026-08-10
  • The intercooled recuperated turbofan engine has more health parameters than the ordinary three-shaft turbofan engine, which leads to a larger calculation amount of fault diagnosis. To enhance the speed of gas path fault diagnosis of intercooled recuperated turbofan engine under multi-component degradation, a fast gas path fault diagnosis method for intercooled recuperated turbofan engine was developed. Based on the traditional nested iterative diagnosis architecture, a non-nested iterative architecture was designed, which considered the degradation of 6 rotating components and 2 heat exchanger components. By dividing the components, the engine component matching and fault diagnosis could be completed in the same Newton-Raphson iterative algorithm. The sensor selection optimization was carried out to improve the ability of measuring parameters to identify the degradation of different components. The results of simulation test on all conditions of engine life cycle showed that the maximum diagnostic error of this method was 0.0036%, the average error was 0.0008%, and the average calculation time was less than 0.063 seconds. Compared with the traditional diagnostic architecture, this non-nested architecture can significantly reduce the number of sub-component calls and fault diagnosis time while ensuring the diagnostic accuracy. It provides the method and theoretical support for overcoming the conflict between high-precision fault diagnosis and rapid diagnosis of multi-component faults.

     

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