摘要
液压阀件系统是一个具有多几何要素影响——多系统特性的复杂系统,建立液压阀件系统特性预测模型,实现系统特性预测,将对降低液压阀件产品返修率、废品率具有重要意义。提出利用灰色系统理论的灰关联分析方法及径向基函数(RBF)神经网络实现液压阀件系统特性预测,通过SQLServer 2000、Visual C++6.0与Matlab 7.0三者之间的无缝联接,开发液压阀件系统特性预测软件。在实际生产中,利用该软件实现在装配前预测液压阀件产品装配后特性,避免因液压阀件产品装配后不合格返修带来的反复装拆工作。试验结果表明,所开发的液压阀件系统特性预测软件能够很好地满足工程实践中液压阀件系统特性预测要求。
Hydraulic valve system is a complex system with multiple characteristics affected by multiple geometric elements.It will be essentially important to establish the prediction model of the system characteristics and achieve the goal of forecasting,so as to reduce the repair rate and the reject rate.A new prediction model based on the grey correlation analysis and RBF neural network is presented and characteristics forecasting software of hydraulic valve is developed by seamless connection of SQL Server 2000、Visual C＋＋6.0 and Matlab 7.0.With the developed software,enterprises can determine whether the hydraulic valve production is eligible or not before assembling after analyzing the forecast results,so as to avoid the repeated work of assembling and disassembling of hydraulic valves caused by disqualification.Experiments indicate that the developed software can perfectly meet the demand of the characteristics prediction of the hydraulic valve in engineering process.
出处
《组合机床与自动化加工技术》
北大核心
2010年第9期56-59,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
辽宁省教育厅创新团队项目(LT2010020)
国家科技重大专项(2009ZX04011-033)
关键词
特性预测
灰关联分析
神经网络
液压阀
characteristic forecasting
grey correlation analysis
neural network
hydraulic valve
