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开展了基于尾气静电信号的航空发动机气路监控技术的应用研究,把尾气静电监测信号EGEMS作为一种新的气路状态参数并建立其基线模型,通过监控尾气静电信号RMS(root mean square)值的偏差值实现对气路部件的实时监控.首先从尾气静电监测的角度总结了尾气碳烟颗粒物的排放特性,分析了尾气静电信号的基线成分、主要影响因素及典型故障静电信号特征,在此基础上分别提出了基于燃油流量单参数的尾气静电信号基线模型(参数化模型)和基于多元状态估计技术的多参数基线模型(非参数化模型)挖掘技术.通过对某型涡轴发动机尾气静电信号的分析表明:所建立的基线模型能够准确反映发动机不同工况下的尾气静电信号的基本特征,有效地监测到气路的异常状态,验证了所提方法的可行性和有效性.
Aeroengine gas line monitoring technology based on exhaust static signal was developed. The exhaust gas static monitoring signal EGEMS was used as a new gas line status parameter and its baseline model was established. By monitoring the root mean square Of the deviation of the gas components to achieve real-time monitoring.First of all, from the perspective of tail gas electrostatic monitoring summarizes the emissions characteristics of soot particulate matter, the exhaust gas static signal baseline composition, the main influencing factors and typical fault electrostatic signal characteristics, Based on the single parameters of the fuel flow, the baseline model (parameterized model) of the exhaust electrostatic signal and the multi-parameter baseline model (non-parametric model) mining technology based on multivariate state estimation are proposed respectively. The analysis of the signal shows that the baseline model established can accurately reflect the basic characteristics of the exhaust electrostatic signal under different operating conditions of the engine and effectively monitor the abnormal state of the gas passage, which verifies the feasibility and effectiveness of the proposed method.