基于改进模糊综合评判的航空发动机状态评估  

Aeroengine Performance Monitoring Based on Improved Fuzzy Synthetic Evaluation

作　　者：王梦琦[1] 王端民[1] 杨雪[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《润滑与密封》2011年第1期80-84,共5页Lubrication Engineering

摘　　要：针对传统依靠单一参数对发动机性能状态进行评判的不足,基于航空发动机性能状态监测的模糊评判方法,建立融合12个性能指标的航空发动机性能评价指标体系;通过对多台发动机历史数据的分析,利用粗糙集确定某型涡扇发动机各个性能指标的权重值;利用加权求和广义模糊算子等相关知识对某台缺乏历史数据的发动机的性能状态进行最终评判。结果表明:该改进的模糊综合评判法能够监测航空发动机性能所处的状态,提前预报故障,在航空发动机性能评判中具有较高的实用价值。Based on the fuzzy assessment method of aeroengine monitoring,an evaluation index system on twelve aeroengine performance parameters was established.With sufficient historical data of a certain type of turbine-fan aeroengine,the weighting coefficients of each parameter were determined based on rough set;the performance of a certain turbine-fan aeroengine,which was short of historical data,was tested based on weighted average operator as well as some other knowledge of fuzzy synthetic evaluation.The testing results show that the improved fuzzy synthetic evaluation improves the efficiency of comprehensive estimation of aeroengine performance.The method can be used to monitor the performance and prognose the fault of aeroengine.

关 键 词：航空发动机 粗糙集 模糊综合评判 性能评估 

分 类 号：V263.6[航空宇航科学与技术—航空宇航制造工程]