Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process

The main subject of the paper is a problem of capability assessment of a production process for manufacturing products fulfilling certain requirements. The paper presents theoretical assumptions of the DRSA method for classification of a process state based on so-called process state measures (e.g....

Full description

Bibliographic Details
Main Authors: A. Kujawinska, M. Rogalewicz, M. Piłacińska, A. Kochański, A. Hamrol, M. Diering
Format: Article
Language:English
Published: Croatian Metallurgical Society 2016-10-01
Series:Metalurgija
Subjects:
Online Access:http://hrcak.srce.hr/file/232071
_version_ 1818066463365267456
author A. Kujawinska
M. Rogalewicz
M. Piłacińska
A. Kochański
A. Hamrol
M. Diering
author_facet A. Kujawinska
M. Rogalewicz
M. Piłacińska
A. Kochański
A. Hamrol
M. Diering
author_sort A. Kujawinska
collection DOAJ
description The main subject of the paper is a problem of capability assessment of a production process for manufacturing products fulfilling certain requirements. The paper presents theoretical assumptions of the DRSA method for classification of a process state based on so-called process state measures (e.g. process parameters, diagnostic signals, events). In the paper, results of application of the proposed methodology for assessment of capability of the nodular cast iron casting process are presented.
first_indexed 2024-12-10T15:08:11Z
format Article
id doaj.art-a7bc0b5adc1b4862a0d6501249311cab
institution Directory Open Access Journal
issn 0543-5846
1334-2576
language English
last_indexed 2024-12-10T15:08:11Z
publishDate 2016-10-01
publisher Croatian Metallurgical Society
record_format Article
series Metalurgija
spelling doaj.art-a7bc0b5adc1b4862a0d6501249311cab2022-12-22T01:44:01ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762016-10-01554821824Application of dominance-based rough set approach (DRSA) for quality prediction in a casting processA. KujawinskaM. RogalewiczM. PiłacińskaA. KochańskiA. HamrolM. DieringThe main subject of the paper is a problem of capability assessment of a production process for manufacturing products fulfilling certain requirements. The paper presents theoretical assumptions of the DRSA method for classification of a process state based on so-called process state measures (e.g. process parameters, diagnostic signals, events). In the paper, results of application of the proposed methodology for assessment of capability of the nodular cast iron casting process are presented.http://hrcak.srce.hr/file/232071casting processcast ironclassificationDRSA methodmethodology
spellingShingle A. Kujawinska
M. Rogalewicz
M. Piłacińska
A. Kochański
A. Hamrol
M. Diering
Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process
Metalurgija
casting process
cast iron
classification
DRSA method
methodology
title Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process
title_full Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process
title_fullStr Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process
title_full_unstemmed Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process
title_short Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process
title_sort application of dominance based rough set approach drsa for quality prediction in a casting process
topic casting process
cast iron
classification
DRSA method
methodology
url http://hrcak.srce.hr/file/232071
work_keys_str_mv AT akujawinska applicationofdominancebasedroughsetapproachdrsaforqualitypredictioninacastingprocess
AT mrogalewicz applicationofdominancebasedroughsetapproachdrsaforqualitypredictioninacastingprocess
AT mpiłacinska applicationofdominancebasedroughsetapproachdrsaforqualitypredictioninacastingprocess
AT akochanski applicationofdominancebasedroughsetapproachdrsaforqualitypredictioninacastingprocess
AT ahamrol applicationofdominancebasedroughsetapproachdrsaforqualitypredictioninacastingprocess
AT mdiering applicationofdominancebasedroughsetapproachdrsaforqualitypredictioninacastingprocess