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首页> 外文期刊>Journal of Mechanical Science and Technology >Multiple model-based detection and estimation scheme for gas turbine sensor and gas path fault simultaneous diagnosis
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Multiple model-based detection and estimation scheme for gas turbine sensor and gas path fault simultaneous diagnosis

机译:基于多模型的燃气轮机传感器检测和估计方案及天然气路径故障同时诊断

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摘要

In this paper, a multiple model (MM)-based detection and estimation scheme for gas turbine sensor and gas path fault diagnosis is proposed, which overcomes the coupling effects between sensor faults and gas path faults, and simultaneously realizes an accurate diagnosis of sensor and gas path faults. First, an adaptive fault detection and isolation (FDI) framework based on the MM method was established to detect and isolate sensor faults and gas path faults. Then, a fault amplitude estimation method was proposed according to the FDI results, and a fault validation method based on the Chi-square test was proposed to confirm the actual fault. Finally, hardware in the loop (HIL) simulation platform was established to validate the effectiveness of the proposed method. Several simulation case studies were conducted based on a two-shaft marine gas turbine with common gas path faults and sensor faults. The simulation results show that the proposed method can accurately diagnose the fault and estimate the corresponding fault amplitude when both the sensor fault and the gas path fault coincide.
机译:在本文中,提出了一种用于燃气轮机传感器和气体路径故障诊断的多种型号(MM)检测和估计方案,其克服了传感器故障和气体路径故障之间的耦合效应,并同时实现了传感器的精确诊断气体路径故障。首先,建立了基于MM方法的自适应故障检测和隔离(FDI)框架,以检测和隔离传感器故障和气体路径故障。然后,根据FDI结果提出了故障幅度估计方法,并提出了一种基于Chi-Square测试的故障验证方法来确认实际故障。最后,建立了环路(HIL)仿真平台的硬件以验证所提出的方法的有效性。基于具有普通气体路径故障和传感器故障的双轴海洋燃气轮机进行了几项模拟案例研究。仿真结果表明,当传感器故障和气体路径故障重合时,该方法可以准确地诊断故障并估计相应的故障幅度。

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