摘要
本文提出了柴油机装配间隙参数与柴油机质量水平定量关系的优化模型。柴油机的装配过程是影响产品质量的重要因素,装配间隙参数是柴油机装配过程的重要表征参数。研究引入粗糙集和k-均值聚类算法建立分析模型。数据源是某柴油机的装配间隙参数。本文建立了柴油机装配间隙参数与质量水平近似依赖关系的决策系统。以16缸装配间隙参数数据和质量级数据为例,验证了所提模型的正确性。实证结果表明,该模型在现实中可行。
This paper presents an optimization model for the quantitative relationship between diesel engine assembly clearance parameters and diesel engine quality level.The assembly process of the diesel engine is an important factor affecting the quality of the product.The assembly gap parameter is an important characterization parameter of the diesel engine assembly process.The data source is the assembly gap parameter of a diesel engine.In this paper,a decision system of diesel engine assembly gap parameter and quality level is established.The correctness of the proposed model is verified by taking the 16th cylinder assembly gap parameter data and the quality level data as an example.The empirical results show that the model is feasible in reality.
出处
《黑龙江科学》
2017年第14期177-180,共4页
Heilongjiang Science
关键词
装配间隙
粗糙集
聚类算法
优化模型
Assembling clearance
Rough set
Clustering algorithm
Optimization model
