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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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A data acquisition platform for the development of a wind turbine condition monitoring system

Swiszcz, G. and Cruden, A.J. and Booth, C.D. and Leithead, W.E. (2008) A data acquisition platform for the development of a wind turbine condition monitoring system. In: International Conference on Condition Monitoring and Diagnosis 2008. IEEE, pp. 1358-1361. ISBN 978-1-4244-1621-9

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Abstract

Often condition monitoring (CM) system developers use simulation or test rig data due to a lack of actual wind turbine measurements however, this data may not necessarily reflect processes happening in the real turbine application. In order to determine different patterns of machinery deterioration, precise data of existing parameters at higher sampling frequencies up to 20 kHz is needed. Additional parameters, not currently commonly monitored, like turbine vibration or tower movement, are also desired. In this paper the design of a data acquisition (DAQ) platform to be mounted on a 660 kW Vestas V47 wind turbine is presented. The requirements and limitations of the data acquisition application are discussed. A detailed explanation of the data acquisition program developed in LabVIEW as well as the possibilities for remotely controlling this process are given. Finally, different methodologies for handling, storing and accessing large volumes of data are presented with the authors' optimal solution highlighted.