A knowledge-based system for spinning management

Detalhes bibliográficos
Autor(a) principal: Vasconcelos, Rosa
Data de Publicação: 1996
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/8868
Resumo: This paper describes the development of a knowledge-based system to support and improve the spinning process. It is divided in three parts. The first part describes a statistical study using sixteen raw cottons and three kinds of yarn. A set of mathematical models describes the relationships between cotton fiber and yarn properties. Eighteen different models have been identified according to different control processes (HVI motion control and Spinlab and individual instruments) and different production processes (ring and rotor spinning, OE RU 14 Spincomat and Autocoro 117). The second part details the implementation of the knowledge-based system using the programming languages PROLOG and C. The knowledge base uses a framework shell (flex or forward logical expert systems) that interfaces with PROLOG. This prototype can be used either to predict the characteristics of the yarn according to those of the available raw materials, or to select the raw materials adequate to produce yarn with specific characteristics. The last section presents some conclusions of the work.
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spelling A knowledge-based system for spinning managementScience & TechnologyThis paper describes the development of a knowledge-based system to support and improve the spinning process. It is divided in three parts. The first part describes a statistical study using sixteen raw cottons and three kinds of yarn. A set of mathematical models describes the relationships between cotton fiber and yarn properties. Eighteen different models have been identified according to different control processes (HVI motion control and Spinlab and individual instruments) and different production processes (ring and rotor spinning, OE RU 14 Spincomat and Autocoro 117). The second part details the implementation of the knowledge-based system using the programming languages PROLOG and C. The knowledge base uses a framework shell (flex or forward logical expert systems) that interfaces with PROLOG. This prototype can be used either to predict the characteristics of the yarn according to those of the available raw materials, or to select the raw materials adequate to produce yarn with specific characteristics. The last section presents some conclusions of the work.SAGEUniversidade do MinhoVasconcelos, Rosa1996-041996-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/8868eng"Textile Research Journal." ISSN 0040-5175. 66:4 (Apr. 1996) 265-2680040-517510.1177/004051759606600413info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:54:26Zoai:repositorium.sdum.uminho.pt:1822/8868Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:53:59.914094Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A knowledge-based system for spinning management
title A knowledge-based system for spinning management
spellingShingle A knowledge-based system for spinning management
Vasconcelos, Rosa
Science & Technology
title_short A knowledge-based system for spinning management
title_full A knowledge-based system for spinning management
title_fullStr A knowledge-based system for spinning management
title_full_unstemmed A knowledge-based system for spinning management
title_sort A knowledge-based system for spinning management
author Vasconcelos, Rosa
author_facet Vasconcelos, Rosa
author_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Vasconcelos, Rosa
dc.subject.por.fl_str_mv Science & Technology
topic Science & Technology
description This paper describes the development of a knowledge-based system to support and improve the spinning process. It is divided in three parts. The first part describes a statistical study using sixteen raw cottons and three kinds of yarn. A set of mathematical models describes the relationships between cotton fiber and yarn properties. Eighteen different models have been identified according to different control processes (HVI motion control and Spinlab and individual instruments) and different production processes (ring and rotor spinning, OE RU 14 Spincomat and Autocoro 117). The second part details the implementation of the knowledge-based system using the programming languages PROLOG and C. The knowledge base uses a framework shell (flex or forward logical expert systems) that interfaces with PROLOG. This prototype can be used either to predict the characteristics of the yarn according to those of the available raw materials, or to select the raw materials adequate to produce yarn with specific characteristics. The last section presents some conclusions of the work.
publishDate 1996
dc.date.none.fl_str_mv 1996-04
1996-04-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/8868
url http://hdl.handle.net/1822/8868
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv "Textile Research Journal." ISSN 0040-5175. 66:4 (Apr. 1996) 265-268
0040-5175
10.1177/004051759606600413
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv SAGE
publisher.none.fl_str_mv SAGE
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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