以一个双轴分排涡扇发动机为例,研究了数理统计和模型辨识组合方法诊断发动机双故障的可行性和效果.模型辨识法基于发动机性能仿真模型,在辨识的过程中利用了发动机平衡技术,考虑了模型的非线性.运用数理统计方法对辨识法得到的结果进行再处理,弥补了单纯以拟合程度为标准进行故障隔离的不足,定义和选择合适的故障指标,可以在多重故障模型下得到良好的故障隔离效果. Taking a biaxial turbofan engine as an example, the feasibility and effectiveness of the combination of mathematical statistics and model identification to diagnose double engine faults are studied.The model identification method is based on the engine performance simulation model, and the engine balancing technology , Taking into account the nonlinear model.Using mathematical statistics to re-process the results obtained by the identification method to make up for the lack of fault isolation based only on the degree of fitting, the definition and selection of appropriate fault indicators, multiple fault models Get a good fault isolation effect.