Back to Search Start Over

Vibration-Response-Only Structural Health Monitoring for Offshore Wind Turbine Jacket Foundations via Convolutional Neural Networks

Vibration-Response-Only Structural Health Monitoring for Offshore Wind Turbine Jacket Foundations via Convolutional Neural Networks

Authors :
Christian Tutivén
Bryan Puruncajas
Yolanda Vidal
Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió
Universitat Politècnica de Catalunya. Departament de Matemàtiques
Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
Source :
Sensors, Vol 20, Iss 3429, p 3429 (2020), UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Sensors, Volume 20, Issue 12, Sensors (Basel, Switzerland)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

This work deals with structural health monitoring for jacket-type foundations of offshore wind turbines. In particular, a vibration-response-only methodology is proposed based on accelerometer data and deep convolutional neural networks. The main contribution of this article is twofold: (i) a signal-to-image conversion of the accelerometer data into gray scale multichannel images with as many channels as the number of sensors in the condition monitoring system, and (ii) a data augmentation strategy to diminish the test set error of the deep convolutional neural network used to classify the images. The performance of the proposed method is analyzed using real measurements from a steel jacket-type offshore wind turbine laboratory experiment undergoing different damage scenarios. The results, with a classification accuracy over 99%, demonstrate that the stated methodology is promising to be utilized for damage detection and identification in jacket-type support structures.

Details

Language :
English
ISSN :
14248220
Volume :
20
Issue :
3429
Database :
OpenAIRE
Journal :
Sensors
Accession number :
edsair.doi.dedup.....0af5461edde8b348ee86b2a168da99e2