摘要
综合评判在航空发动机性能定量、定性评价分析以及性能预测中发挥着重要的作用。针对综合评判发动机性能时,各参数的权重系数难于确定,本文提出应用粗糙集理论,对原始发动机数据进行挖掘,利用其求得各项参评发动机性能因素的属性重要度,并进行权值化处理作为其权重系数。通过对某型涡扇发动机进行监控,结果表明所提方法有效克服了传统定权方法的主观性,使得评价结果更具客观性,提高了综合评判的准确性、有效性。
Comprehensive estimation plays an important role in evaluating and forecasting aero-engine performance.In this method,it is very difficult to determine the weighting coefficients of each parameter.Therefore,author of the paper applies Rough Set(RS)theory to determine significance of each parameter and then shift significance of attribution to weighting coefficient.Furthermore,the efficiency of weighting coefficients gained by RS is tested by monitoring certain type of turbine-fan engine.The testing result shows that RS overcomes the shortcomings of subjectivity of traditional methods in determining weights,possesses much more objectivity and improves the accuracy and efficiency of comprehensive estimation.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第5期704-707,共4页
Systems Engineering and Electronics
基金
空军重点科研基金资助课题(2003KJ01705)
关键词
粗糙集
权重系数
综合评判
航空发动机
性能监控
rough set
weighting coefficient
comprehensive estimation
aero-engine
performance monitoring
