摘要
基于lsqnonlin非线性优化函数及遗传算法研究了涡扇发动机监测参数的选择方法。首先建立涡扇发动机模型及故障模型;然后在建立的模型基础上进行基于lsqnonlin非线性优化函数的故障诊断及隔离;最后基于遗传算法选择出最优监测参数集,并在考虑测量噪声的情况下对选出的参数集进行验证。研究表明该方法具有通用性,有一定的工程应用价值。
The method of lsqnonlin non-linear algorithm and GA algorithm and their application on turbofan engine component faults diagnosis are researched in this paper.Firstly,the turbo-fan model and diagnosis model are acquired by using the commercial turbofan engine model;secondly,fault diagnosis and isolation using lsqnonlin non-linear algorithm is established based on the data acquired in the model in the former step;finally,the set of optimal monitoring parameters is selected by using GA algorithm and final validation process to further validate the optimal sets of parameters is established by considering the measurement noise.The results indicate that the method is versatile and its specific application is of some engineering value.
作者
吴君凤
Wu Junfeng(Shanghai Aircraft Design and Research Institute,Commercial Aircraft Corporation of China, Ltd., Shanghai, 201210, China)
出处
《机械设计与制造工程》
2021年第4期77-82,共6页
Machine Design and Manufacturing Engineering
