摘要
变速箱作为导弹发射车的关键传动部件之一,其故障状态直接影响到导弹发射车作战的可靠性和安全性。为准确评估导弹发射车变速箱的磨损损伤状态,选取变速箱的油液铁谱分析数据作为输入特征信息,基于灰关联理论建立了导弹发射车的变速箱损伤评估模型,并应用粒子群算法对该模型的分辨系数进行优化,提高了变速箱损伤评估的准确性。
The gearbox is one the key transmission components of the missile launching vehicle.Its fault status directly affects the reliability and safety of the missile launching vehicle on the war.In order to accurately assess the wear state of the missile launching vehicle,this paper built a gearbox wear damage assessment model based on the grey relational theory,selecting the Ferrogra-phy analyze data of oil.And the Particle Swarm Optimization(PSO)is used to optimize the model,which improved the accuracy of the assessment.
作者
董德浩
王辉均
张志华
徐程
周利军
龚巡贤
孙大钧
DONG De-hao;WANG Hui-jun;ZHANG Zhi-hua;XU Cheng;ZHOU Li-jun;GONG Xun-xian;SUN Da-jun(Shanghai Aerospace Equipments Manufacturer Co.,Ltd.,Shanghai 200245)
出处
《机械设计》
CSCD
北大核心
2019年第A01期219-221,共3页
Journal of Machine Design
基金
2016年智能制造新模式应用资助项目(2016ZXFM03002)
国家科技重大专项资助项目(2017ZX04005001)
关键词
导弹发射车变速箱
灰关联理论
粒子群算法
损伤评估
gearbox of missile launching vehicle
gery relational theory
Particle Swarm Optimization
damage assessment