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Development of A Diagnostic Expert System (FDD-Expert) for Woven Fabric Defects

Yıl 2018, Sayı: 2, 412 - 421, 19.08.2018

Öz

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.

Kaynakça

  • Alexandra, A A (1998) Using Expert Systems for Fault Detection and Diagnosis in Industrial Applications, Technology Showcase: JOAP International Condition Monitoring Conference, Mobile, Alabama, USA. Angeli, C. (2010) Diagnostic Expert Systems: From Expert’s Knowledge to Real-Time Systems Ch. 4 of Advanced Knowledge Based Systems: Model, Applications & Research (Eds. Sajja & Akerkar), Vol. 1, pp 50 – 73. Chung-Feng J K, Chang-Chiun, H, Tzen-Chin G, Chien-Chun L and Tsann-Tay T, (2014). Recognition of fault process conditions based on spinline tension in melt spinning, Textile Research Journal, 2014, Vol. 84(14) pp.1549–1557 Datacolor International (1997). Tinctoria, 11 (1997) 89. Duan, Y, Edwards, J. S. & Xu, M. X. (2005). Web-based expert systems: benefits & challenges. Elsevier, Information & Management 42, pp. 799–811. Dlodlo, N, Hunter, L, Cele, C, Metelerkamp, R, Botha, A F (2007). A Hybrid Expert Systems Architecture for Yarn Fault Diagnosis, Fibres & Textıles in Eastern Europe April / June 2007, Vol. 15, No. 2 (61) Fan, J, Hunter L, (1998), A worsted fabric expert system, Part I: System development. Text. Res. J. 68:9(1998), pp. 680-686. Feigenbaum, E. (1981). Handbook of Artificial Intelligence: Heuris Tech Press, W. Kaufman Inc. Fiber Organon (2012) (online: http://www.fibersource.com/feb/feb3c.htm; Access: March 2018. Frei G and Walliser R (1989), Textilia, 65 pp.20. Frei G and Walliser R (1991). J.of Society of Dyers and Colorist, 107 pp.147–149. Frei G and Poppenwimmer K, (1992), Textilveredlung, 27 (1992) pp.276. Frenzel, L E, (1988) "Understanding Expert Systems", Howard W. Sams and Company, Indianapolis. Ganter, B., & Wille, R. (1999). Formal Concept Analysis. Mathematical Foundations. Berlin: Springer. Goodarz, M, Tehran, A, Malek, R M, Mazaheri, F M (2010). Review of Expert Systems in the Coloration and Textile Industry, Journal of Color Sci. Tech. of the Institute for Color Science and Technology. 4 (2010), pp. 41-53. Grimson, E.L. and Patil, R.S. (1987) AI in the 1980s and Beyond, MIT Press, Cambridge, MA. Grove, R. F. (2000). Internet-based expert systems. Expert Systems 17, pp. 129–136. Günther R, (1989). L’Ind. Text., 1197 (1989) 78. Kalav, B. (2012), Pamuklu Kumaşlarin İnk Jet Baskisinda Bilgi Tabanli Uzman Sistem Kullanarak Problem Belirleme Ve Giderme, Ph.D Thesis, ITU Fen Bilimleri Enst. Istanbul. Karamantscheva I (1994). Textilveredlung, 29 pp.29. Krajca, P., Outrata, J., & Vychodil, V. (2008). Parallel recursive algorithm for FCA. In CLA (Vol. 2008, pp. 71-82). Kumar, S and Mishra R B (2010). Web-based expert systems and services, The Knowledge Engineering Review, Vol. 25:2, 167–198. & Cambridge University Press. Lange A, Nahr U and Schurmann K (1992), Textilveredlung, 27 pp.268. Liao, S. H. (2005) Expert system methodologies and applications – a decade review from 1995 to 2004, Expert Systems with Applications, 28, pp. 93–103. Lin, J-J, Lin, C-H and Tsai I S, (1995). Applying Expert System and Fuzzy Logic to an Intelligent Diagnosis System for Fabric Inspection, Textile Research Journal Vol 65 (12) pp. 697–709. Lin, J-J, (2009). A Genetic Algorithm-based Solution Search to Fuzzy Logical Inference for Breakdown Causes in Fabric Inspection, Textile Research Journal Vol 79(5):pp. 394–409 Nabiyev, V. 2012. Yapay Zeka, (4.Baskı) Ankara, Seçkin Yayıncılık. Pérez, J P, Arrieta, A G, Encinas, A H and Queiruga-Dios, A (2017), Manufacturing processes in the textile industry. Expert Systems for fabrics production, ADCAIJ: Advances in Distributed Computing and Articial Intelligence Journal Regular Issue, Vol. 6 (1), pp. 41-50. Sawatwarakul, W, Joines, J and Shamey, R (2015), A diagnostic expert system for the dyeing of protein fibres, Society of Dyers and Colourists, Coloration Technology, 131, pp.389–395. Schere, W. and White, C. 1989. A Survey of Expert Systems for Equipment Maintenance and Diagnostics. In Knowledge-based system Diagnosis, Supervision, and Control ed. Tzafestas, S. Plenum Publishing Inc. Shahrabi J, Hadavandi E, Salehi E M (2013) "Developing a hybrid intelligent model for constructing a size recommendation expert system in textile industries", International Journal of Clothing Science and Technology, Vol. 25 Issue: 5, pp.338-349. Shamey R and Sawatwarakul W (2014), Text. Progress, 46 (2014) 323. Sawatwarakul W, (2014) A diagnostic expert system for the dyeing of protein fibers. PhD Dissertation (Raleigh, NC: North Carolina State University. Shim, W S (2009). A diagnostic expert system for the coloration of polyester materials. PhD Dissertation, North Carolina State University, Fiber and Polymer Science Raleigh, North Carolina, USA. Soe, S M M and Paing, M P, (2008) Design and Implementation of Rule-based Expert System for Fault Management, World Academy of Science, Engineering and Technology 24 2008 pp.34-40. Tzafestas, S.G. (1986) Knowledge engineering approach to system modelling, diagnosis, supervision and control, Proceedings of the IFAC Symposium on Simulation of Control Systems, I. Troch, P. Kopacek and F. Breitenecker (eds), Oxford: Pergamon, pp.15–22. Viviani F, (1996). Riv. Tecnol. Tessil., 5 p.138. Watkins P, (1992) Luxury Fibres: Rare Materials for Higher Added Value (London/New York: Economist Intelligence Unit. Wielemaker, J., Schrijvers, T., Triska, M., & Lager, T. (2012). Swi-prolog. Theory and Practice of Logic Programming, 12(1-2), 67-96.
Yıl 2018, Sayı: 2, 412 - 421, 19.08.2018

Öz

Kaynakça

  • Alexandra, A A (1998) Using Expert Systems for Fault Detection and Diagnosis in Industrial Applications, Technology Showcase: JOAP International Condition Monitoring Conference, Mobile, Alabama, USA. Angeli, C. (2010) Diagnostic Expert Systems: From Expert’s Knowledge to Real-Time Systems Ch. 4 of Advanced Knowledge Based Systems: Model, Applications & Research (Eds. Sajja & Akerkar), Vol. 1, pp 50 – 73. Chung-Feng J K, Chang-Chiun, H, Tzen-Chin G, Chien-Chun L and Tsann-Tay T, (2014). Recognition of fault process conditions based on spinline tension in melt spinning, Textile Research Journal, 2014, Vol. 84(14) pp.1549–1557 Datacolor International (1997). Tinctoria, 11 (1997) 89. Duan, Y, Edwards, J. S. & Xu, M. X. (2005). Web-based expert systems: benefits & challenges. Elsevier, Information & Management 42, pp. 799–811. Dlodlo, N, Hunter, L, Cele, C, Metelerkamp, R, Botha, A F (2007). A Hybrid Expert Systems Architecture for Yarn Fault Diagnosis, Fibres & Textıles in Eastern Europe April / June 2007, Vol. 15, No. 2 (61) Fan, J, Hunter L, (1998), A worsted fabric expert system, Part I: System development. Text. Res. J. 68:9(1998), pp. 680-686. Feigenbaum, E. (1981). Handbook of Artificial Intelligence: Heuris Tech Press, W. Kaufman Inc. Fiber Organon (2012) (online: http://www.fibersource.com/feb/feb3c.htm; Access: March 2018. Frei G and Walliser R (1989), Textilia, 65 pp.20. Frei G and Walliser R (1991). J.of Society of Dyers and Colorist, 107 pp.147–149. Frei G and Poppenwimmer K, (1992), Textilveredlung, 27 (1992) pp.276. Frenzel, L E, (1988) "Understanding Expert Systems", Howard W. Sams and Company, Indianapolis. Ganter, B., & Wille, R. (1999). Formal Concept Analysis. Mathematical Foundations. Berlin: Springer. Goodarz, M, Tehran, A, Malek, R M, Mazaheri, F M (2010). Review of Expert Systems in the Coloration and Textile Industry, Journal of Color Sci. Tech. of the Institute for Color Science and Technology. 4 (2010), pp. 41-53. Grimson, E.L. and Patil, R.S. (1987) AI in the 1980s and Beyond, MIT Press, Cambridge, MA. Grove, R. F. (2000). Internet-based expert systems. Expert Systems 17, pp. 129–136. Günther R, (1989). L’Ind. Text., 1197 (1989) 78. Kalav, B. (2012), Pamuklu Kumaşlarin İnk Jet Baskisinda Bilgi Tabanli Uzman Sistem Kullanarak Problem Belirleme Ve Giderme, Ph.D Thesis, ITU Fen Bilimleri Enst. Istanbul. Karamantscheva I (1994). Textilveredlung, 29 pp.29. Krajca, P., Outrata, J., & Vychodil, V. (2008). Parallel recursive algorithm for FCA. In CLA (Vol. 2008, pp. 71-82). Kumar, S and Mishra R B (2010). Web-based expert systems and services, The Knowledge Engineering Review, Vol. 25:2, 167–198. & Cambridge University Press. Lange A, Nahr U and Schurmann K (1992), Textilveredlung, 27 pp.268. Liao, S. H. (2005) Expert system methodologies and applications – a decade review from 1995 to 2004, Expert Systems with Applications, 28, pp. 93–103. Lin, J-J, Lin, C-H and Tsai I S, (1995). Applying Expert System and Fuzzy Logic to an Intelligent Diagnosis System for Fabric Inspection, Textile Research Journal Vol 65 (12) pp. 697–709. Lin, J-J, (2009). A Genetic Algorithm-based Solution Search to Fuzzy Logical Inference for Breakdown Causes in Fabric Inspection, Textile Research Journal Vol 79(5):pp. 394–409 Nabiyev, V. 2012. Yapay Zeka, (4.Baskı) Ankara, Seçkin Yayıncılık. Pérez, J P, Arrieta, A G, Encinas, A H and Queiruga-Dios, A (2017), Manufacturing processes in the textile industry. Expert Systems for fabrics production, ADCAIJ: Advances in Distributed Computing and Articial Intelligence Journal Regular Issue, Vol. 6 (1), pp. 41-50. Sawatwarakul, W, Joines, J and Shamey, R (2015), A diagnostic expert system for the dyeing of protein fibres, Society of Dyers and Colourists, Coloration Technology, 131, pp.389–395. Schere, W. and White, C. 1989. A Survey of Expert Systems for Equipment Maintenance and Diagnostics. In Knowledge-based system Diagnosis, Supervision, and Control ed. Tzafestas, S. Plenum Publishing Inc. Shahrabi J, Hadavandi E, Salehi E M (2013) "Developing a hybrid intelligent model for constructing a size recommendation expert system in textile industries", International Journal of Clothing Science and Technology, Vol. 25 Issue: 5, pp.338-349. Shamey R and Sawatwarakul W (2014), Text. Progress, 46 (2014) 323. Sawatwarakul W, (2014) A diagnostic expert system for the dyeing of protein fibers. PhD Dissertation (Raleigh, NC: North Carolina State University. Shim, W S (2009). A diagnostic expert system for the coloration of polyester materials. PhD Dissertation, North Carolina State University, Fiber and Polymer Science Raleigh, North Carolina, USA. Soe, S M M and Paing, M P, (2008) Design and Implementation of Rule-based Expert System for Fault Management, World Academy of Science, Engineering and Technology 24 2008 pp.34-40. Tzafestas, S.G. (1986) Knowledge engineering approach to system modelling, diagnosis, supervision and control, Proceedings of the IFAC Symposium on Simulation of Control Systems, I. Troch, P. Kopacek and F. Breitenecker (eds), Oxford: Pergamon, pp.15–22. Viviani F, (1996). Riv. Tecnol. Tessil., 5 p.138. Watkins P, (1992) Luxury Fibres: Rare Materials for Higher Added Value (London/New York: Economist Intelligence Unit. Wielemaker, J., Schrijvers, T., Triska, M., & Lager, T. (2012). Swi-prolog. Theory and Practice of Logic Programming, 12(1-2), 67-96.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Berkay Barıs

E.serdar Guner

H.ziya Ozek

Yayımlanma Tarihi 19 Ağustos 2018
Yayımlandığı Sayı Yıl 2018Sayı: 2

Kaynak Göster

APA Barıs, B., Guner, E., & Ozek, H. (2018). Development of A Diagnostic Expert System (FDD-Expert) for Woven Fabric Defects. The Eurasia Proceedings of Science Technology Engineering and Mathematics(2), 412-421.