Study on the Evaluation of Engine Performance Based on Hybrid Optimization Algorithm

被引：0

作者：

Zhao Kai ^{[1
]}

Li Benwei ^{[1
]}

机构：

[1] NAAU, Dept Airborne Vehicle Engn, Yantai 264001, Shandong, Peoples R China

来源：

PROCEEDINGS OF THE FIRST SYMPOSIUM ON AVIATION MAINTENANCE AND MANAGEMENT-VOL II | 2014年 / 297卷

关键词：

Aircraft engine; Multi-parameter weights; Comprehensive evaluation; Particle swarm optimization; Simulated annealing algorithm;

D O I：

10.1007/978-3-642-54233-6_54

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

To solve the lack of ability to evaluate engine performance based on single parameter, the method of evaluating engine performance based on multiple parameters is studied. This paper uses hybrid optimization algorithm and classical particle swarm optimization algorithm to obtain the weights of multiple parameters by analyzing the test data of a type of engine. The comparative study shows the hybrid optimization algorithm is superior to the classical particle swarm optimization (PSO) in the calculation result. Finally, the engine performance index of each overhaul is calculated.

引用

页码：489 / 497

页数：9

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