Sensitivity analysis of sensor location for damage detection in a wind turbine blade

Bruna Pavlack, Samuel da Silva, João Pedro Norenberg, Americo Cunha, David Garcia Cava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This work performs the sensitivity analysis of sensors located in a damaged composite wind turbine blade to identify the sensors with the most significant influence on a global damage index (DI). The methodology used obtains DIs from data-driven vibration Structural Health Monitoring (VSHM). First, a global DI with data from the sensors is used. From this global DI, the Polynomial Chaos–Kriging method is used to obtain a metamodel that quantifies the damage severity as a function of the DI. Subsequently, the global sensitivity analysis (GSA) is performed to analyse the influence of each sensor on the DI. The GSA method used is the Sobol’ indices. The results obtained from the sensitivity analysis of the sensors are satisfactory because the Sobol’ indices show that the sensors located in the damage path have greater sensitivity and influence on the DI. Studies of this nature are critical, as they make it possible to optimise the location of sensors for better damage detection and contribute to cost reduction
Original languageEnglish
Title of host publicationProceedings of the 6th Brazilian Conference on Composite Materials
PublisherUniversidade Federal De Sao Joao Del-Rei
ISBN (Electronic)978-65-00-49386-3
Publication statusPublished - 31 Aug 2022

Publication series

Name Proceedings of the Brazilian Conference on Composite Materials
ISSN (Electronic)2316-1337


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