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Modeling the effects of the environment on wind turbine failure modes using neural networks

Wilson, Graeme and McMillan, David (2012) Modeling the effects of the environment on wind turbine failure modes using neural networks. In: IET International Conference on Sustainable Power Generation and Supply, 2012-09-08 - 2012-09-09, Hangzhou.

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Abstract

Neural networks were used to investigate if any relationship existed between maximum daily gust speed, average daily wind speed and temperature and wind turbine failure modes. Using five years of weather station data a typical site characteristic was determined using the neural network. This was then compared to a characteristic produced using only weather data for days when failures occurred. These failure and normal characteristics were then compared to determine if any relationships existed. It was found that in some sub-assemblies the failure trends differed to the normal conditions trend, suggesting that there may be relationships.

Item type: Conference or Workshop Item (Paper)
ID code: 41245
Keywords: wind turbines, reliability, asset management, SAP data, environment, effects, wind turbine failure modes , neural networks, Engineering (General). Civil engineering (General)
Subjects: Technology > Engineering (General). Civil engineering (General)
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
Depositing user: Pure Administrator
Date Deposited: 26 Sep 2012 14:31
Last modified: 06 Sep 2014 20:30
URI: http://strathprints.strath.ac.uk/id/eprint/41245

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