基于模糊信息熵的航空发动机性能评估和可靠性分析  

Aeroengine Performance Synthetic Estimation and Reliability Analysis Based on Fuzzy Information Entropy

作　　者：谭巍[1,2] 李冬[1] 樊照远[3] 武书阁 

机构地区：[1]海军航空工程学院飞行器工程系,山东烟台264001 [2]海军飞行学院,辽宁葫芦岛125001 [3]海军驻沈阳地区发动机专业军事代表室,沈阳110043

出　　处：《航空发动机》2011年第5期45-48,共4页Aeroengine

摘　　要：以航空发动机为研究对象,利用发动机测量参数变化评估发动机综合性能。将多个测量参数通过模糊信息熵方法转化成1维参数,克服了1个参数不能全面反映发动机性能的缺点;结合性能退化可靠性理论和随机过程方法,通过分析发动机性能退化过程,运用威布尔分布建立了基于随机过程的性能退化过程中的发动机性能可靠性模型。结果表明:通过模糊信息熵方法得到的性能参数能较好地反映发动机性能状况及可靠性程度。Taking aeroengine as research object, the aeroengine synthetic performance was evaluated using the variation of measured parameter. Many measured parameters was transformed into one dimensional parameter by fuzzy information entropy method, the weakness of one parameter that cannot completely reflect engine performance was overcame. The reliability model of the engine performance during deterioratoin process was established based on stochastic progress and using Weibull distributior,, combined with performance deterioration reliability theory and stochastic progress method. The results show that the performance parameters obtained by fuzzy information entropy method can better reflect the performance status and the reliability level.

关 键 词：性能综合评估 可靠性 性能衰退 模糊信息熵 航空发动机 

分 类 号：V23[航空宇航科学与技术—航空宇航推进理论与工程]