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- W2889252023 abstract "A variety of computer aided techniques have been proposed to help solving diagnostic problems in different disciplines. Commonly known as expert systems, approaches, undertaking distinct formalisms for modelling domain knowledge, include: rule-based and frame-based systems or semantic and neural networks. Explanatory mechanisms are more easily implemented with rule-based systems and graphical models making these preferred solutions to the diagnostic problem. Since the pioneering work by Feigenbaum (DENDRAL, 1971) theory and utility of expert systems have progressively evolved, and accompanied by the appearance of various expert systems development tools. In textile industry, expert systems are generally used to increase production, improve quality and reduce costs.This paper describes Fabric Defect Diagnosing System (FDD-EXPERT), an expert system in the domain of fabric defects. Fabric defect is known as an undesirable fault in the fabric which deteriorates the quality fabric and makes it inferior. FDD-EXPERT contains 173 different defects based on TS471 ISO8498 Woven Fabric Description of defects with additional 47 defects. Defects depicted in this domain are classified based upon their similarity of appearance, multiple attributes relevant to effect upon visual quality and sources of defects. Possible reasons for each defect and remedial solutions are also included. A rule-based knowledge domain and interference engine is generated in PROLOG. User friendly interface of the system is developed through Visual Basic (VB.Net). It is a combination of logic and declarative programming. This diagnostic system may be utilised as problem solving and training tool by novice operators or as a supplementary knowledge for expert operators." @default.
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- W2889252023 date "2018-08-19" @default.
- W2889252023 modified "2023-09-25" @default.
- W2889252023 title "Development of A Diagnostic Expert System (FDD-Expert) for Woven Fabric Defects" @default.
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