会议专题

Application of Data Mining Technology in After-sale Process Service

The prediction and control of the diesel engine cylinder liner wear is always a difficult problem. In this paper we use data mining technology in the cylinder liner wear factors of Grey relational analysis, to identify the main factors, and at the same time the issue of multi-cylinder liner wear factors predicted results can guide the scientific enterprise in the choice of liner material, service and processing Technology decision-making program improvements.

Cylinder liner wear Grey model Data Mining After-sale Service

SUN Yongcai SUN Li WANG Xiulun

DaLian JiaoTong University, DaLian, P.R.China 116028

国际会议

The 5th International Conference on Product Innovation Management(第五届产品创新管理国际会议 ICPIM 2010)

武汉

英文

969-973

2010-07-10(万方平台首次上网日期,不代表论文的发表时间)