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

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.

关键词： Aircraft engine Multi-parameter weights Comprehensive evaluation Particle swarm optimization Simulated annealing algorithm

作者: Zhao Kai Li Benwei

作者单位: Department of Airborne Vehicle Engineering, NAAU, Yantai 264001 Shandong, China

会议类型: 国际会议

会议名称: 2013西安国际航空维修与管理学术会议

会议地点: 西安

会议语种:英文

页码: 489-497

在线出版日期: 2013-11-25（万方平台首次上网日期，不代表论文的发表时间）