Abstract
The electricity supply industry in the United Kingdom has undergone continuous change, ever since its beginnings in the late 19th century. From the early days when the industry consisted of numerous small companies, largely meeting local needs for lighting, industry and public transport, the industry has evolved to become one of major importance to the country’s economy. Until recently, the industry accounted for the some three-quarters of the UK coal market, about a third of the country’s primary fuel of the UK coal market, and about a third of the country’s primary fuel consumption. Revenues from the industry amount to almost 2% of the national income. The price and security of the electricity supply is a key factor in the competitiveness of UK industry.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References for Further Reading
Adams, D., and MacDonald, D. (1993), “A cost and performance modelling system for power generators,” Proceedings of the Seminar on Applications of Expert Systems in the Power Industry, Institute of Mechanical Engineers Headquarters, London, November, 1993.
Blyth Power Station (1992), National Power Publication, September.
Brace, M., Schmidt, J., and Hadlin, M. (1991), “Comparison of the forecasting accuracy of neural networks with other established techniques,” Proceedings of the First International Forum on Applications of Neural Networks to Power Systems, Seattle, pp. 31–35.
British Government (1988), “Privatising electricity: the government’s proposals for the privatisation of the electricity supply industry in England and Wales,” Government White Paper, February.
Broomhead, D., and Jones, R. (1992), “Condition monitoring and failure prediction in chaos,” Proceedings of the Institute of Electrical Engineers Colloquium on Advanced Vibration Measurements, Techniques for the Early Prediction of Failure, London, England.
Broske, D., and Colsher, R. (1992), “Predictive and proactive maintenance for the 90s,” Proceedings of Predictive and Diagnostic Maintenance Conference, Knoxville, TN, September.
Burrows, J. (1992), “Strategies, techniques and tools for improving the decision-making process of plant maintenance,” Proceedings of the 4th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), Nimes, France, July.
Data Signal Systems Incorporated (1991), “VARMINT: Vibration Analysis for Rotating Machinery Internals,” Production Information, June.
Dayhoff, J. (1990), Neural Network Architectures-An Introduction, Van Nostrand Reinhold.
Diagnostic Instruments Limited (1990), “Bearing damage assessment in the PL31,” Application Note No. 90/08/02.
Entek Scientific Corporation (1989), “Predictive maintenance: an investment in long-term savings,” Engineers’ Digest, April, pp. 68–70.
Entek Scientific Corporation, (1992), “Explore-EX-Rotating Equipment Vibration Advisory Software,” Product Information.
Flegg, A., (1992), “Profitable condition monitoring within national power,” Proceedings of the 4th International Conference on Profitable Condition Monitoring, Stratford-upon-Avon, England.
Gemmell et al. (1993), “A consultative expert system for fault diagnosis of turbine-generator plant,” Proceedings of Seminar on Applications of Expert Systems in the Power Industry, Institute of Mechanical Engineers Headquarters, London, November.
Harris, T. (1992), “Neural networks and their application to diagnostics and control,” Proceedings of the 4th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), Nimes, France, July.
Harris, T. (1993), “An introduction to neural networks,” Proceedings of the 6th International Conference on Joining of Materials (JOM-6), Helsingor, Denmark.
Harris, T., and Stroud, R. (1992), “The control of submerged arc welding using neural network interpretation of ultrasound,” Proceedings of the International Conference on Artificial Neural Networks (ICANN 92), Brighton, England, September.
Harris, T., MacIntyre, J., Smith, P. (1994), “Neural networks and their application to vibration analysis,” Proceedings of the Structural Dynamics and Vibration Symposium, New Orleans, January.
Harris, T., Maclntyre, J., Smith, P., and Medsker, L. (1994), “Neural networks and expert systems: complementary technologies that can work together,” Proceedings of Expert Systems ′94: the 14th Annual Conference of the British Computer Society Specialist Group on Expert Systems, Cambridge, U.K., December, pp. 224–259.
Hill, J. (1991), “Application of expert systems to condition monitoring, Noise and Vibration Worldwide, April, pp. 20–22.
Hinton, G. (1992), “How neural networks learn from experience,” Scientific American, September.
Javed, M., and Littlefair, G. (1993), “Neural networks based condition monitoring systems for rotating machinery,” Proceedings of the 5th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), Bristol, England, July.
Joliffe, I. (1991), “Discarding variables in a principal component analysis,” Applied Statistics, vol 21, pp. 160–173.
Kierman, L. and Warwick, K, (1993), “Adaptive Alarm Processor for Fault Diagnosis on Power Transmission Networks,” Intelligent Systems Engineering, Spring, pp. 25–37.
Kingston, J. (1992), “Optimisation of power plant efficiency by the use of predictive maintenance systems and methods,” International Power Generation, vol 15, no. 1, pp. 48–52.
Lausterer, G., Klinger-Reinhold, R., and Seibert, E. (1993), “A knowledge-based operator system-concepts, knowledge acquisition, and practical experience,” Proceedings of the Seminar on Applications of Expert Systems in the Power Industry, Institute of Mechanical Engineers Headquarters, London, November, 1993.
Littlefair, G. (1991), “The development of a comprehensive condition-based maintenance system,” Internal Report for Climatic Laboratories, Royal Armament Research and Development Establishment, Surrey, England, August.
Lowe, D., (1994), “Electricity load demand forecasting,” presented at the Neural Computing Applications Forum, Oxford, July.
Mayes, I. (1993), “Use of neural networks for on-line vibration monitoring,” Proceedings of the Seminar on the Application of Expert Systems in the Power Generation Industry, Institute of Mechanical Engineers Headquarters, London.
McMahon, S. (1991a), “Condition monitoring of bearings using ESP,” Condition Monitoring and Diagnostic Technology, vol 2, no. 1, July.
McMahon, R. (1991b), “Condition monitoring at a continuous coal handling facility,” Proceedings of the 3rd International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM 91), Southampton, England, July.
Milne, R. (1990a), “Amethyst: rotating machinery condition monitoring,” Proceedings of the American Association for Artificial Intelligence (AAAI 90) Conference, Washington, DC.
Milne, R. (1990b), “Case studies in condition monitoring,” Knowledge-Based Systems for Process Control, Peter Peregrinus Limited.
Milne, R., and Trave-Massuyes, L., (1993), “Real-time model based diagnosis of gas turbines,” Proceedings of Expert Systems 93, December, pp. 63–81.
Nicholls, C. (1990), “Development of an expert system to diagnose machinery vibration problems,” National Seminar on Maintenance and Productivity, New Delhi, India, February.
O’Brien, J., and Reeves, C. (1993), “Comparison of neural network paradigms for condition monitoring,” Proceedings of the 5th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), Bristol, England, July.
Parkinson, R.T. Hon C, MP (1988), “Government proposals for the privatisation of the electricity supply industry in England and Wales,” Statement to the House of Commons, February.
Sapp, W. (1992), “The development of a comprehensive predictive maintenance program at a Georgia Pacific Paper Mill,” Preventive and Predictive Maintenance Technology, September/October.
Serridge, M. (1991), “What makes vibration condition monitoring reliable?,” Noise and Vibration Worldwide, September, pp. 17–24.
Shrieve, P. (1992), “A plant health check that really does work,” Works Management, September, pp. 41–43.
Siegel, D., and Roedersheimer, M. (1990), “An expert system for rotating equipment vibration diagnosis,” Predictive/Preventive Maintenance Technology, vol 3, no. 1, January/February.
Taylor-Burge, K. et al. (1993), “The real-time analysis of acoustic weld emissions using neural networks,” Proceedings of the 6th International Conference on Joining of Materials (JOM-6), Helsingor, Denmark, April.
Taylor-Burge, K. et al. (1992), “The management of industrial arc welding by neural networks,” Proceedings of the 4th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM 92), Nimes, France, July.
Thomas, M. (1992), “Condition monitoring,” Internal Publication, Department of Mechanical Engineering, University of Strathclyde, Glasgow, Scotland.
Yarrow, A. (1991), “Condition monitoring by wear debris analysis,” Noise and Vibration Worldwide, May, pp. 24–28.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer Science+Business Media New York
About this chapter
Cite this chapter
Maclntyre, J., Smith, P., Harris, T. (1995). Industrial Experience: The use of Hybrid Systems in the Power Industry. In: Hybrid Intelligent Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2353-6_4
Download citation
DOI: https://doi.org/10.1007/978-1-4615-2353-6_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5998-2
Online ISBN: 978-1-4615-2353-6
eBook Packages: Springer Book Archive