Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

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 University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Big data techniques for wind turbine condition monitoring

Ferguson, David and Catterson, Victoria (2014) Big data techniques for wind turbine condition monitoring. In: European Wind Energy Association Annual Event (EWEA 2014), 2014-03-10 - 2014-03-13. (In Press)

[img]
Preview
PDF (Big Data Techniques for Wind Turbine Condition Monitoring)
Big_Data_Techniques_for_Wind_Turbine_Condition_Monitoring.pdf - Accepted Author Manuscript

Download (389kB) | Preview

Abstract

The continual development of sensor and storage technology has led to a dramatic increase in volumes of data being captured for condition monitoring and machine health assessment. Beyond wind energy, many sectors are dealing with the same issue, and these large, complex data sets have been termed ‘Big Data’. Big Data may be defined as having three dimensions: volume, velocity, and variety. This paper discusses the application of Big Data practices for use in wind turbine condition monitoring, with reference to a deployed system capturing 2 TB of data per month.