Abstract
Most plants need data interpretation and diagnosis. Significant benefits in terms of reliability and quality can be achieved if this is performed automatically [1]. Expert systems provide a very powerful means for achieving this [3]. They provide the appropriate mechanism for capturing the skill of an experienced engineer and turning that into an automatic computer program. However, traditional expert system packages require humans to input all the parameters.
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Milne, R.W., Artificial Intelligence for Online Diagnosis, IEE Proceedings, Vol. 134, Pt. D, No. 4th, July 1987
Milne, R.W., Case Studies in Condition Monitoring. Knowledge-Based Systems for Industrial Control, IEE Control Engineering Series 44. (J. McGhee, M.J. Grimble and P. Mowforth, Editors), p255–266. Peter Peregrinus Ltd Publications, 1990
Milne, R.W., Diagnostic Strategies. Systems & Control Encyclopedia Supplementary Volume 1, Madan G. Singh, Editor in Chief, pl55–160. Pergamon Press Publications, 1990
Milne, R.W., Expert Systems On-line. Systems & Control Encyclopedia Supplementary Volume 1, Madan G. Singh, Editor in Chief, p243–251. Pergamon Press Publications, 1990
Milne, R.W., Monitoring Process Control Systems. Advances in Engineering Software, Computational Mechanics Publications, vol 12, no. 3, pl29–132, July 1990.
Milne, R.W., On-Line Artificial Intelligence, The 7th International Workshop on Expert Systems & Their Applications, Avignon, France, 13th–15th May 1987.
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© 1991 Computational Mechanics Publications
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Milne, R., Bain, E., Drummond, M. (1991). Real-Time Means Planning Ahead to Look Back. In: Rzevski, G., Adey, R.A. (eds) Applications of Artificial Intelligence in Engineering VI. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3648-8_30
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DOI: https://doi.org/10.1007/978-94-011-3648-8_30
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-85166-678-2
Online ISBN: 978-94-011-3648-8
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