Data-driven modeling and simulation of complex multistation manufacturing process for dimensional variation analysis

doi:10.1142/S1793962319500119

CORC > 兰州理工大学 > 兰州理工大学 > 新能源学院

	Data-driven modeling and simulation of complex multistation manufacturing process for dimensional variation analysis
	Zhang, Lei 1; Huang, Chuanhui 1; Wang, Lei 1; Zhao, Enlan 1; Gao, Wenke 2
刊名	International Journal of Modeling, Simulation, and Scientific Computing
	2019-06-01
卷号	10 期号:3
关键词	Industrial research Manufacture Data driven Data driven modeling methods Kernel smoothing Key product characteristics Mathematical expressions Multi-station manufacturing process multistation Partially linear models
ISSN号	17939623
DOI	10.1142/S1793962319500119
英文摘要	Dimensional variation analysis in multistation manufacturing processes (MMPs) is a challenging research topic with great practical significance. Researchers have been focused on constructing various mathematical models to identify the correlations among the huge amounts of collected production data. However, current models have achieved insufficient insights into the variation correlation laws due to the complexity of the data's mutual relations. In this study, a data-driven modeling method is developed for deep data-mining and dimensional variation analysis. The proposed initial mathematical expression originates from practical engineering knowledge. Through a mathematical treatment, the mathematical expression is transformed into a first-order AR(1) model format, which contains multiple dimensional variations' interstation and temporal correlating information. To obtain this information, the estimation of the proposed model is discussed in detail. A simulation case involving two key product characteristics of a grinding process is used to demonstrate the effectiveness and accuracy of the proposed method for dimensional variation analysis in MMPs. © 2019 World Scientific Publishing Company.
WOS研究方向	Computer Science
语种	英语
出版者	World Scientific Publishing Co. Pte Ltd
WOS记录号	WOS:000484177200003
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114301]
专题	新能源学院能源与动力工程学院
作者单位	1.School of Mechanical and Electrical Engineering, Xuzhou University of Technology, Xuzhou; 221018, China; 2.School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Zhang, Lei,Huang, Chuanhui,Wang, Lei,et al. Data-driven modeling and simulation of complex multistation manufacturing process for dimensional variation analysis[J]. International Journal of Modeling, Simulation, and Scientific Computing,2019,10(3).
APA	Zhang, Lei,Huang, Chuanhui,Wang, Lei,Zhao, Enlan,&Gao, Wenke.(2019).Data-driven modeling and simulation of complex multistation manufacturing process for dimensional variation analysis.International Journal of Modeling, Simulation, and Scientific Computing,10(3).
MLA	Zhang, Lei,et al."Data-driven modeling and simulation of complex multistation manufacturing process for dimensional variation analysis".International Journal of Modeling, Simulation, and Scientific Computing 10.3(2019).