摘要
传统的发动机性能评估通过排气温度裕度衡量发动机性能的好坏,计算参数包括发动机排气温度和燃油流量,其预测精度不够理想。本文运用信息熵理论和模糊数学方法,通过对某发动机典型故障进行系统分析和定量计算,确定故障征兆和故障原因之间的信息熵权值,得出四参数发动机状态综合评估公式,并通过熵值排序定量研究各故障原因对发动机工作状态的影响程度,最后利用层次分析法验证信息熵排序的准确性及可行性。
The exhaust gas temperature margin index, including exhaust gas temperature and fuel flow, is commonly employed to evaluate the performance of aero-engines. But the precision of this method is not satisfactory. In this paper, the typical engine faults are analyzed systematically and the information entropy weights of faulty symptoms and causes are calculated by means of information entropy and fuzzy mathematics theory, thus a comprehensive performance evaluation formula is developed for aero-engines. By arranging the entropy weights sequence, the influences of faulty causes are studied and validated correct by analytic hierarchy process theory.
出处
《机械科学与技术》
CSCD
北大核心
2009年第6期701-704,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
中国民航大学科研基金项目(05yk08m)资助
关键词
信息熵
航空发动机
性能评估
information entropy
aero-engine
performance evaluation
