Multi-Fault Diagnosis for Wind Turbines Based on SCADA Data

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jul 6, 2018
Yolanda Vidal Francesc Pozo Christian Tutivén

Abstract

The reliability requirements of wind turbine (WT) components have increased significantly in recent years in the search for a lower impact on the cost of energy. In addition, the trend towards larger WTs installed in offshore locations has significantly increased the cost of repair of the components. In the wind industry, therefore, condition monitoring is crucial for maximum availability.

In this work, without using specific tailored devices for condition monitoring but only using the already available sensors of the SCADA system, a data-driven multi-fault diagnosis strategy is contributed. 

How to Cite

Vidal, Y., Pozo, F., & Tutivén, C. (2018). Multi-Fault Diagnosis for Wind Turbines Based on SCADA Data. PHM Society European Conference, 4(1). https://doi.org/10.36001/phme.2018.v4i1.566
Abstract 344 | PDF Downloads 352

##plugins.themes.bootstrap3.article.details##

Keywords

wind turbine, SCADA data, multi-fault diagnosis, FAST

Section
Posters