提出了一种模糊推理与证据理论相结合的航空发动机故障诊断方法.首先,根据故障征兆信号,结合专家经验对发动机故障原因发生的可能进行模糊推理,解决故障诊断中的模糊性问题;其次,将模糊推理结果作为证据的基本置信度分配,确保赋值的准确性;最终,采用证据组合规则对多个证据进行融合决策,减小故障诊断的不确定性测度,并解决证据间的冲突问题,从而实现对故障源的精确定位.实验结果表明,该方法可行且有效. A method of fault diagnosis of aeroengine based on fuzzy reasoning and evidence theory is proposed.Firstly, based on the fault symptom signal and the expert’s experience, the fuzzy inference of the possible cause of the engine fault is performed to solve the fuzziness problem in fault diagnosis. Secondly, Fuzzy reasoning results are taken as the basic confidence distribution to ensure the accuracy of assignment. Finally, the evidence combination rules are used to make multiple fusion decisions to reduce the uncertainty of fault diagnosis and solve the conflict between evidences. So as to realize the accurate positioning of the fault source.The experimental results show that this method is feasible and effective.