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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-3821dc7f-73b4-4f90-82e9-64f5fa531d8d

Czasopismo

Fibres & Textiles in Eastern Europe

Tytuł artykułu

A Hybrid Expert Systems Architecture for Yarn Fault Diagnosis

Autorzy Dlodlo, N.  Hunter, L.  Cele, C.  Metelerkamp, R.  Botha, A. F. 
Treść / Zawartość http://www.fibtex.lodz.pl
Warianty tytułu
PL Hybrydowe systemy eksperckie do rozpoznawania uszkodzeń przędzy
Języki publikacji EN
Abstrakty
EN This article describes a hybrid expert system architecture to support yarn fault diagnosis. The system uses a combination of rule-based and case-based techniques to achieve the diagnosis. Rule-based systems handle problems with well-defined knowledge bases, which limits the flexibility of such systems. To overcome this inherent weakness of rule-based systems (RBS), case-based reasoning (CBR) has been adopted to improve the performance of the expert system by incorporating previous cases in the generation of new cases. The idea of this research is to use rules to generate a diagnosis on a fault and to use cases to handle exceptions to the rules. The cases are represented using an object-oriented approach to support abstraction, re-use and inheritance features.
PL Artykuł ten opisuje architekturę hybrydowego systemu eksperckiego, stosowanego jako pomoc w rozpoznawaniu błędów przędzy. W celu dokonania rozpoznania uszkodzeń, system hybrydowy oparty jest na kombinacji technik, których podstawami są „reguły” i „przypadki”. Systemy oparte na „regułach” (SOR) rozwiązują problemy o dobrze znanych i określonych zasadach, co ogranicza elastyczność takich systemów. Aby pokonać tą ich nieodłączną niesprawność i polepszyć działanie systemu, zastosowano podsystemy rozpoznające przypadki (SRP), dla generacji nowych przypadków na podstawie analizy dotychczasowych. Myślą przewodnią przedstawionego opracowania jest stosowanie reguł dla generowania diagnozy, dotyczącej danego błędu i wykorzystania przypadków dla rozpatrywania odstępstw od reguł. Przypadki są reprezentowane poprzez dochodzenie do celu zorientowanie na obiekt dla wsparcia abstrakcji reguły i powtórnej realizacji zadania.
Słowa kluczowe
PL systemy eksperckie   systemy baz wiedzy   błędy przędzy   systemy oparte na przypadkach   systemy oparte na regułach   tkaniny   sztuczna inteligencja   programowanie zorientowane obiektowo  
EN expert systems   knowledge-based systems   yarn faults   case-based reasoning   rule-based reasoning   textiles   artificial intelligence   object-oriented  
Wydawca Instytut Biopolimerów i Włókien Chemicznych
Czasopismo Fibres & Textiles in Eastern Europe
Rocznik 2007
Tom Nr 2 (61)
Strony 43--49
Opis fizyczny Bibliogr. 50 poz., rys.
Twórcy
autor Dlodlo, N.
  • National University of Science and Technology, Box AC 939, Ascot, Bulawayo, Zimbabwe, ndlodlo@nust.ac.zw, ndlodlo@csir.co.za
  • Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000
autor Hunter, L.
  • Nelson Mandela Metropolitan University P.O. Box 7700 Port Elizabeth, South Africa 6003, lawrance.hunter@nmmu.ac.za, lhunter@csir.co.za
  • Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000
autor Cele, C.
  • Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, ccele@csir.co.za
autor Metelerkamp, R.
  • Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, rmetler@csir.co.za
autor Botha, A. F.
  • Council for Scientific and Industrial Research, National Fibre, Textile and Clothing Centre, Box 1124, Gomery Avenue, Summerstrand, Port Elizabeth, South Africa 6000, afbotha@csir.co.za
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