Abstract
The industrial production of high-quality float-glass is usually supervised by the single human expert. It is of interest to formalize his empirical knowledge to support the furnace operator at all times during the day. The paper describes the systematic development of a fuzzy expert with 6 blocks of 297 knowledge rules and 85 fuzzy terms for verified production quality.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
K. Matsushima and H. Sugiyama: Human operator's fuzzy model Man-Machine systems with a nonlinear controled object. Digest Industrial Applications in Fuzzy Control, 175–185 (1985)
Th. Froese, C. van Altrock and St. Franke: Optimization of water-treatment system with fuzzy logic control. Proceedings 3rd IEEE Int. Conf. on Fuzzy Systems III, pp. 1614–1619 (1994)
T. Furuhshi, K. Nakaoka and Y. Uchikawa: Suppression of excessive fuzziness using multiple fuzzy classifier systems. Proceedings 3rd IEEE Int. Conf. on Fuzzy Systems I, pp. 411–414 (1994)
S. Yasurobu and Y. Murai: Parking control based on predictive fuzzy control. Proceedings 3rd IEEE Int. Conf. on Fuzzy Systems II, pp. 1338–1341 (1994)
J.A.G. Nijhuis, H. vanAartsen, E.I. Barakova, W.J. Jansen and L. Spaanenburg: On the optimal mapping of fuzzy rules on standard micro-controlers. Microprocessing and Microprogramming 40, 697–700 (1994)
N. Funke and Ch. Grallen: Optimierung einer Hydraulikregelung für Personenaufzüge. Tagungsband 5. Aachener Fuzzy Symposium, pp. 33–41 (April 1994)
C.-T. Lin and C.S.G. Lee: Neural-Network-Based Fuzzy Logic Control and Decision System. IEEE Transactions on Computers 40, No. 12 (1991)
J. Blattner, S. Neußer, L. Spaanenburg and J.A.G. Nijhuis: Optimizing Fuzzy rules by neural learning. Digest Int. Conf. on Mathematical and Intelligent Models in System Simulation MISS'93, pp. 238–246 (1993)
A. Siggelkow, J. Nijhuis, S. Neusser and L. Spaanenburg: Influence of Hardware Characteristics on the Performance of a Neural System. Proceedings of the 1991 International Conference on Artificial Neural Networks, pp. 697–702 (1991)
H. Keegstra, W.J. Jansen, J.A.G. Nijhuis, L. Spaanenburg, J.H. Stevens and J.T. Udding: Exploiting Network Redundancy for Lowest-Cost Neural Network Realizations. Digest ICNN'96, pp. 951–955 (June 1996)
V. Ruiz de Angulo and C. Torres: On-line learning with minimal degradation in feedforward networks. IEEE Transactions on Neural Networks 6, No. 3. pp. 657–668 (May 1995)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Spaanenburg, L., TerHaseborg, H., Nijhuis, J.A.G. (1997). Fuzzy diagnosis of float-glass production furnace. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_112
Download citation
DOI: https://doi.org/10.1007/3-540-62868-1_112
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-62868-2
Online ISBN: 978-3-540-69031-3
eBook Packages: Springer Book Archive