International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Application of Neural Network Scheme to Performance Enhancement of Rheotruder

  • Kim, Sung-Ho (School of Electronics and Information Engineering, College of Engineering, Kunsan National University) ;
  • Lee, Young-Sam (School of Electronics and Information Engineering, College of Engineering, Kunsan National University) ;
  • Diaconescu, Bogdana (School of Electronics and Information Engineering, College of Engineering, Kunsan National University)
  • Published : 2005.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, in order to guarantee the quality of the final product from the production line, several equipments able to examine the polymer ingredients' quality are being used. Rheotruder is one of the equipments manufactured to measure the viscosity of the ingredient that is an important factor for the quality of final product. However, Rheotruder has nonlinear characteristics such as time delay which make systematic analysis difficult. In this paper, in order to enhance the performance of Rheotruder, a new scheme is introduced. It incorporates TDNN (Time Delay Neural Network) bank and Elman network to get a right decision on whether the tested ingredient is good or not. Furthermore, the proposed scheme is verified through real test execution.

Keywords

References

  1. Y.H.Kim J.K.Baek S.S.Kim 'Development of Real Time Manufacturing Control System for Plastic Extrusion Factories', Journal of the KIIE(Korean Institute of Industrial Engineers), No. 12-2, 254, 1999
  2. Robert Hecht Nielsen, Neuro-computing, Addison Wesley, pp124-137, 1990
  3. A.Waibel, T.Hanazawa, G.Hinton, et al., 'Phoneme recognition using time-delay neural network', IEEE Trans. on Acoustics, Speach, and Signal Processing, Vol. 37, pp. 328-339, 1989 https://doi.org/10.1109/29.21701
  4. D.P. Mandic, J.A. Chambers, Recurrent Neural Networks for Prediction, John Wiley & Son, NY, 2001
  5. Choi Won Jun, Shin Hyo Cheol, Gwak Shin Wung, 'Optimization of Process Condition of Injection Molding using heredity algorithm', Thesis version A of KSME(Korean Society of Mechanical Engineers), Vol.24 No.10, pp.2543-2551, 2000
  6. K.NAIT BAHLOUL, 'TDNN For Prediction of Position of Glycine on the Ramachandran map', Proc. International Conference on Neural Information Processing, Seoul, Korea, Vol. 3, pp. 1932-1936, Octobre 1994
  7. Ing.Jozef Voftko, 'Use of Time Delay Neural Networks for Sensor Errors Elimination', ElectronicsLetters.com ISSN 1213-161X, #2/5/2004
  8. E.Michael Azoff, Neural Network Time Series Forecasting of Financial Market, John Wiley & Son, NY, 1994
  9. J.L. Elman, Finding structure in time, Cognitive Sci. 14, 179-211, 1990 https://doi.org/10.1016/0364-0213(90)90002-E
  10. J.Zhou S.Bennett, 'DYNAMIC SYSTEM FAULT DIAGNOSIS BASED ON NEURAL NETWORK MODELLING', IFAC Conference SAFEPROCESS'97, vol. 1, pp. 54-59, Hull, UK, 1997