Abstract
This paper describes the benefits that small companies can obtain from the United Kingdom Department of Trade and Industry Knowledge Transfer Partnerships business support product. This provides funding for collaborations between universities and companies in order that knowledge and technology transfer between the partners can occur. Knowledge Transfer Partnerships can support a wide range of commercial activities, proving there is a solid business case to show that the government support will lead to improvements in the profitability of the company. This paper describes the Knowledge Transfer Partnerships product. It then goes on to present a case study of a business collaboration under the scheme between Powerlase Ltd, a manufacturer of laser systems, and the University of Brighton, to implement intelligent condition monitoring in the Company’s products.
This is a preview of subscription content, log in via an institution to check access.
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
Lambert, R.: The Lambert Review of Business-University Collaboration Interactions, p. 31. Her Majesty’s Stationary Office, Norwich (2003)
KTP Online Web Site, http://www.ktp-online.org.uk (2005)
Deshayes, Y., Bechou, L., Mendizabal, L., Danto, Y.: Early failure signatures of 1310 nm laser modules using electrical, optical and spectral measurements. Measurement 34, 157–178 (2003)
Cordera, D.A., Evans, D.R., Tyrer, J.R., Freeland, C.M., Myler, J.K.: High Power Laser Beam Delivery Monitoring for Laser Safety. Optics and Lasers in Engineering 27, 479–492 (1997)
Tu, J.F., Katter, J.G., Monacelli, J.G., Gartner, M.: A dynamic model for condition monitoring of a high power CO2 industrial laser. Journal of Dynamic Systems Measurement & Control 121, 157–164 (1999)
Koomsap, P., Prabhu, V.V., Shaikh, N.I., Schriempf, J.T.: McDermott, J.H. Condition monitoring and lifetime estimation of a CO2 laser. Journal of Laser Applications 15(4), 285–293 (2003)
Wang, K.: Intelligent Condition Monitoring and Diagnosis Systems, pp. 103–118. IOS Press, Amsterdam, ISBN 1 58603 312 3
Haykin, S.: Neural Networks A Comprehensive Foundation, 2nd edn., p. 139. Prentice Hall, Englewood Cliffs, ISBN 0 13 908385 5
Rumelhart, D.E., McClelland, J.L.: Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol. 1, p. 148. MIT Press, Cambridge (1986)
Dawe, G.P., Howlett, R.J., Joyce, I., Nowell, T.: Condition monitoring of high-power, Q-switched, diode-pumped lasers. In: British Institute of Non-Destructive Tesing Conference. Cambridge (2005) (accepted for publication)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Howlett, R., Dawe, G., Nowell, T. (2005). Condition Monitoring Capability Developed Through a Knowledge Transfer Partnership Between a Small Company and a University. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_163
Download citation
DOI: https://doi.org/10.1007/11553939_163
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
eBook Packages: Computer ScienceComputer Science (R0)