The potential of using artificially simulated neural networks as intelligent, adaptive process-monitoring devices is discussed. The investigation is considered as a method for automatic, intelligent exception reporting for quality control applications. The technique is also compared with the conventional statistical approaches of principal component analysis and Kohonen's feature map. The applications of the technique in aerospace and manufacturing environments are presented and a possible extension of the method to incorporate a diagnostic function is discussed.
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Baldi, P. and Hornik, K. (1989) Neural network and principal component analysis, INNS Neural Networks, 2(1), 53–58.
Carpenter, G. A. and Grossberg, S. (1987) A massively parallel architecture for a self organising pattern recognition machine, Computer Vision, Graphics and Image Processing, 37, 54–115.
Deleeuw, J., Young, F. W. and Takani, Y. (1976) Additive structure in quantitative data; an alternating least squares method for optimal scaling, Psychometrica, 41, 471–503.
Hewitt, P. D., Skitt, P. J. C. and Witcomb, R. C. (1989) A self organising feedforward network applied to acoustic data, IOP (Physics World), November.
Holden, N. and Sanders, S. (1989) New opportunities from medium frequency welding, in Proceedings of ISATA Conference, Wiesbaden.
Kohonen, T. (1989) Self-organisation and Associative Memory, Springer Verlag (3rd edition).
Kuczewski, R. M., Myers, H. and Crawford, W. J. (1987) Exploration of backward error propagation as a self organisational structure, Proceedings of IEEE 1st International Conference on Neural Networks, San Diego, CA, Vol. 2, pp. 89–95.
Lippman, R. P. (1987) An introduction to computing with neural nets, IEEE ASSP Magazine, April.
McGregor, G. (1983) The resistance spot welding of metallic coated steel, Metals Australasia, March.
Page, E. S. (1954) Continuous inspection schemes, Biometrika, 41, 1054, 100–115.
Rumelhart, D. E., McLelland, J. L. and PDP Group (1987) Parallel Distributed Processing, MIT Press, 1, pp. 318–362.
Tanaka, Y., Sakaguchi, M., Shirasawa, H. et al. (1985) Electrode life in resistance spot welding of zinc plated steel sheets, International Journal of Vehicle Design, 6(4/5).
Witcomb, R. C., Skitt, P. J. C. and Hewitt, P. D. (1989) Adaptive acoustic monitoring of aircraft engines, in Proceedings of First International Congress on Condition Monitoring and Diagnostic Engineering Management, Birmingham, UK, September, p. 194–198.
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Seconded from Cheltenham and Gloucester College of Higher Education as a Royal Society/SERC Research Fellow at Smith's Industries Aerospace and Defence Systems, Bishop's Cleeve, Cheltenham, UK.
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Skitt, P.J.C., Javed, M.A., Sanders, S.A. et al. Process monitoring using auto-associative, feed-forward artificial neural networks. J Intell Manuf 4, 79–94 (1993). https://doi.org/10.1007/BF00124982
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DOI: https://doi.org/10.1007/BF00124982