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Durham University

Department of Engineering

Staff Profile

Publication details for Dr Christopher Crabtree

Chen, B., Zappalá, D., Crabtree, C.J. & Tavner, P.J. (2014). Survey of Commercially Available SCADA Data Analysis Tools for Wind Turbine Health Monitoring. School of Engineering and Computing Sciences. Durham University School of Engineering and Computing Sciences.

Author(s) from Durham

Abstract

By analysing data from the Signal Conditioning and Data Acquisition (SCADA) systems fitted to wind
turbines (WT) their manufacturers, Operators and other experts are able to monitor and improve
WT performance.
This survey summarises and describes the current commercially available SCADA systems and
associated analysis tools for monitoring WTs and optimising their performance.
The main information is gathered from papers and internet with the help of partners in the UK
EPSRC Supergen Wind and EU FP7 ReliaWind Consortia. The document contains also information
contributed by D. Zappalá obtained at European Wind Energy Conference 2011, at European Wind
Energy Conference 2012 and at European Wind Energy Conference 2013.