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A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects / R.S Ransing; C Giannetti; M.R Ransing; M.W James; Rajesh Ransing; Cinzia Giannetti

Computers in Industry, Volume: 64, Issue: 5, Pages: 514 - 523

Swansea University Authors: Rajesh, Ransing, Cinzia, Giannetti

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Published in: Computers in Industry
ISSN: 0166-3615
Published: 2013
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URI: https://cronfa.swan.ac.uk/Record/cronfa14574
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first_indexed 2013-07-23T12:13:29Z
last_indexed 2018-02-09T04:46:02Z
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spelling 2015-05-18T13:54:36.7346069 v2 14574 2013-09-03 A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects 0136f9a20abec3819b54088d9647c39f 0000-0003-4848-4545 Rajesh Ransing Rajesh Ransing true false a8d947a38cb58a8d2dfe6f50cb7eb1c6 0000-0003-0339-5872 Cinzia Giannetti Cinzia Giannetti true false 2013-09-03 EEN Journal Article Computers in Industry 64 5 514 523 0166-3615 31 12 2013 2013-12-31 10.1016/j.compind.2013.02.009 Traditional techniques are unable to discover correlations among factors in the ‘noisy’ in-process data. The proposed technique of discovering correlations in the reduced space defined by the principal components is shown to be a novel and robust method. It allows process engineers to view limited number of important penalty matrices from the thousands of possible combinations. The approach has been embedded training courses offered by the American Foundrymen and Institute of Cast Metal Engineers in UK. Elsevier publishers have chosen to make this paper open source, for a period of three months, for the benefit foundry engineers around the world. COLLEGE NANME Engineering COLLEGE CODE EEN Swansea University 2015-05-18T13:54:36.7346069 2013-09-03T06:10:20.0000000 College of Engineering Engineering R.S Ransing 1 C Giannetti 2 M.R Ransing 3 M.W James 4 Rajesh Ransing 0000-0003-4848-4545 5 Cinzia Giannetti 0000-0003-0339-5872 6
title A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects
spellingShingle A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects
Rajesh, Ransing
Cinzia, Giannetti
title_short A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects
title_full A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects
title_fullStr A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects
title_full_unstemmed A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects
title_sort A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects
author_id_str_mv 0136f9a20abec3819b54088d9647c39f
a8d947a38cb58a8d2dfe6f50cb7eb1c6
author_id_fullname_str_mv 0136f9a20abec3819b54088d9647c39f_***_Rajesh, Ransing
a8d947a38cb58a8d2dfe6f50cb7eb1c6_***_Cinzia, Giannetti
author Rajesh, Ransing
Cinzia, Giannetti
author2 R.S Ransing
C Giannetti
M.R Ransing
M.W James
Rajesh Ransing
Cinzia Giannetti
format Journal article
container_title Computers in Industry
container_volume 64
container_issue 5
container_start_page 514
publishDate 2013
institution Swansea University
issn 0166-3615
doi_str_mv 10.1016/j.compind.2013.02.009
college_str College of Engineering
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hierarchy_top_id collegeofengineering
hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
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published_date 2013-12-31T03:25:39Z
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