EventsThe 1st International Electronic Conference on Processes: Processes System Innovation
Published
with-doi10.3390/ECP2022-12685 (registering DOI)
This submission belongs to the session 3. Energy Systems of the event The 1st International Electronic Conference on Processes: Processes System Innovation
Published date
08 Jun, 2022
Academic Editor
author-avatarAndrey Yaroslavtsev
Citation
Antoine Chrétien, Impact of 10 min average wind speed SCADA data on the wind turbine blade damage prediction compared to 1 Hz signal., in Proceedings of The 1st International Electronic Conference on Processes: Processes System Innovation, 17 May–31 May 2022, MDPI: Basel, Switzerland, doi: 10.3390/ECP2022-12685
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Impact of 10 min average wind speed SCADA data on the wind turbine blade damage prediction compared to 1 Hz signal.

1. École de technologie supérieure, Montréal
Abstract

This work aims to underline the sampling frequency impact of the SCADA data on the wind turbine blades damage estimation. Previous studies emphasize on the needs of a 1 Hz frequency signal to carry out wind turbine blades damage computation without proving this assumption. Such an approach requires a large memory capacity regarding to the lifespan of the wind turbines as well as strong calculation resources, restricting the application of this method in the current windfarms. The present study investigates on the impact of the wind speed sampling frequency on the blades damage estimation to determine if whether or not it is relevant working with higher frequencies than the standard 10 min SCADA data. Then, the possibility of using a transfer function to convert standard 10 min SCADA data into 1 Hz signal is proposed, making able to apply this method to current windfarms.

Keywords
Wind turbine
damage estimation
predictive maintenance
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