Abstract
In reviewing the likely future developments within the field of condition monitoring (CM), one cannot but be immediately struck by:
Firstly the wide diversity of work being undertaken in this area, and secondly, the intensity of the activity that is ongoing.
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References
Abu Bakar, S.B. (1993) The Development of an Expert System for Machine Tool Breakdown Diagnostics, MSc Dissertation, UWCC, Cardiff, UK.
Agogino, A.M., Srinvas, S. and Schneider, K.M. (1988) Multiple sensor expert system for diagnostic reasoning monitoring and control of mechanical systems, Mechanical Systems Signal Processing,2(2), 165–85.
Boey, G.K.H. (1993) The Development of an Expert Simulator for Machining Processes, MSc Dissertation, UWCC, Cardiff, UK.
Davies, A. (1992) Initial Progress Report on the Design of a Software Simulator for Reseach into Machine Tool Breakdown Diagnostics, Technical Note EP 185, UWCC, ELSYM, Cardiff, UK.
Drake, P.R., Jennings, A.D., Grosvenor, R.I. and Whittleton, D. (1995) A data acquisition system for machine tool condition monitoring, Quality and Reliability Engineering International, 11 15–26.
Gopal, P.G. (1992) An Expert System for Machine Tool Breakdown Diagnostics using the KAPPA Shell, MSc Dissertation, UWCC, Cardiff, UK.
Grosvenor, R. and Martin, K.F. (1985) Review of Sensors for Machine Tool Applica-tion, UWIST Technote EP 141, Cardiff, UK.
Jennings, A.D. and Whittleton, D. (1993) Identification of BA25 Machine Tool Signals, MIRAM project report MIRAM-UWC-2.2-EXT-ADJ&DW-3-B, available via UWCC, Cardiff, UK.
Kumara, A., Kashyap, R.L. and Soyster, A.L. (1988) An introduction to artificial intelligence in expert systems, Industrial Engineering and Management Press, 3–9.
Ohba, R. (1992) Intelligent Sensor Technology, John Wiley & Sons, Chichester, UK.
Prickett, P.W. and Grosvenor, R.I. (1995) A Petri-Net based machine tool failure diagnosis system, Journal of Quality in Maintenance Engineering, 1(3) 47–57.
Sandner, R. and Berges, C. (1992) Reliability Analysis of Existing Machine Tools, MIRAM project report MIRAM-IAO-2.3-INT-SA&BE-3-A, available via UWCC, Cardiff, UK.
Thomas, P.V. (1993) The Application of an IT Tool to a Business Problem, MSc Dissertation, UWCC, Cardiff, UK.
Towill, D.R. (1985) Sensor Based Machine Tool Management Systems, UWIST Technote EP 110, Cardiff, UK.
Tuenschel, L. (1987) The key role of maintenance in future manufacturing strategies, Proceedings of the International Conference on Modern Concepts and Methods in Maintenance, London, UK, 19–20 May.
Weck, M. et al. (1991) Production Engineering — The Competitive Edge, Butterworth-Heinemann, Oxford, UK.
Whittleton, D. and Jennings, A.D. (1992) Data Acquisition Requirements,MIRAM project report MIRAM-UWC-1.1-EXT-DW&ADJ-1-C, available via UWCC, Cardiff, UK.
Williams, J.H. (1985) Transfer Function Techniques and Fault Location, Research Studies Press, Letchworth, UK.
Williams, J.H., Davies, A. and Drake, P.R. (1994) Condition Based Maintenance and Machine Diagnostics, Chapman & Hall, London, UK.
Zeng, L. and Wang, H.P. (1991) Machine-fault classification: a fuzzy-set approach, International Journal of Advanced Manufacturing Technology, 6 83–94.
Zorkoczy, P. (1982) Information Technology: An Introduction, Pitman, Bath, UK.
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© 1998 Springer Science+Business Media Dordrecht
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Davies, A., Prickett, P.W., Grosvenor, R.I. (1998). Future developments in condition monitoring techniques and systems. In: Davies, A. (eds) Handbook of Condition Monitoring. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4924-2_23
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DOI: https://doi.org/10.1007/978-94-011-4924-2_23
Publisher Name: Springer, Dordrecht
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