基因表达式算法的民航涡扇发动机可调放气阀门工作基线建模

Operation Baseline modeling of civil aviation turbofan engine’s Variable bleed valve by Gene expression programming algorithm

摘要:

如何保障民航在运输过程中飞机发动机能够安全运行,是航空公司都面临的难题,因此掌握航空发动机工作阀门的特性指标,科学地对发动机阀门进行参数的建模分析,从而对发动机进行实时地监控就越来越重要。针对航空发动机工作基线难以从原厂家获取的问题,采用基因表达式编程算法(gene expression programming, GEP),利用飞机快速存储记录器(quick access recorder, QAR)数据对CFM56-7B发动机(当前民航最主流的发动机)的可调放气阀门(Variable bleed valve, VBV)的工作基线进行函数挖掘分析。结果表明,基因表达式编程在处理阀门的非线性回归分析时,非常接近其运行规律,具有偏差小、精度高的优势,并且能得到具体、方便使用的函数关系,可以有效地提高发动机阀门监控和故障诊断的准确性。

Abstract:

How to ensure the safe operation of civil aviation engine during flight is the challenge for all civil airlines. Therefore, it becomes more and more important to master the characteristic index of engine’s operation valves, to model and analyze the parameters of engine’s operation valves scientifically and as a result, to monitor engine in real time. Aiming the problem that it is difficult to obtain the operation baseline from engine manufacturer, adopting gene expression programming algorithm (GEP), using the quick access recorder (QAR) data of CFM56-7B engine that is the most mainstream civil engine, this paper mines and analyzes the engine’s variable bleed valves (VBV) operation baseline. The results show that, during VBV nonlinear regression analysis, GEP has the advantages of little deviation and high precision. GEP can also get specific and convenient function relations, which can improve the accuracy of VBV monitoring and fault diagnosis effectively.