Missingness analysis of manufacturing systems: A case study

被引：1
|
作者：
Carbery, Caoimhe M. [1 ,2 ]
Woods, Roger [1 ]
McAteer, Cormac [3 ]
Ferguson, David M. [3 ]
机构：
[1] Queens Univ Belfast, Elect Comp Engn, Ashby Bldg,Stranmillis Rd, Belfast BT9 5AH, Antrim, North Ireland
[2] Queens Univ Belfast, Math Sci Res Ctr, Belfast, Antrim, North Ireland
[3] Seagate Technol, Springtown Ind Estate, Derry, Londonderry, North Ireland
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE | 2022年 / 236卷 / 10期
基金：
英国工程与自然科学研究理事会;
关键词：
Data analytics; manufacturing systems; classification; pre-processing; ANALYTICS; IMPUTATION; INDUSTRY;
D O I：
10.1177/09544054221076631
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Increasingly manufacturing companies are looking to use sensors to collect data from production lines to help analyse their performance. More rigorous approaches are needed to process and analyse the resulting data, particularly when considering missingness. In this paper, we present the results from a major study into missingness in Seagate's disc head manufacturing process in Londonderry UK. Working in collaboration with company staff, a detailed approach for analysing missingness has been developed. The work shows how missing data analytics can be employed to analyse the quality of the data, identify relationships and diagnose the presence of any patterns.
引用
收藏
页码：1406 / 1417
页数：12
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