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Subspace‐based Mahalanobis damage detection robust to changes in excitation covariance

2021; Wiley; Volume: 28; Issue: 8 Linguagem: Inglês

10.1002/stc.2760

1545-2263

Szymon Greś, Michael Döhler, Palle Andersen, Laurent Mevel,

Infrastructure Maintenance and Monitoring

Structural Control and Health MonitoringVolume 28, Issue 8 e2760 RESEARCH ARTICLE Subspace-based Mahalanobis damage detection robust to changes in excitation covariance Szymon Greś, Corresponding Author Szymon Greś sz.gres@gmail.com orcid.org/0000-0002-6566-2713 Department of Civil and Structural Engineering, Aalborg University, Aalborg, Denmark Correspondence Szymon Greś, Department of Civil and Structural Engineering, Aalborg University, Aalborg, Denmark. Email: sz.gres@gmail.comSearch for more papers by this authorMichael Döhler, Michael Döhler orcid.org/0000-0003-4844-5474 Inria, COSYS-SII, I4S Team, University Gustave Eiffel, Rennes, FranceSearch for more papers by this authorPalle Andersen, Palle Andersen Structural Vibration Solutions A/S, Aalborg, DenmarkSearch for more papers by this authorLaurent Mevel, Laurent Mevel Inria, COSYS-SII, I4S Team, University Gustave Eiffel, Rennes, FranceSearch for more papers by this author Szymon Greś, Corresponding Author Szymon Greś sz.gres@gmail.com orcid.org/0000-0002-6566-2713 Department of Civil and Structural Engineering, Aalborg University, Aalborg, Denmark Correspondence Szymon Greś, Department of Civil and Structural Engineering, Aalborg University, Aalborg, Denmark. Email: sz.gres@gmail.comSearch for more papers by this authorMichael Döhler, Michael Döhler orcid.org/0000-0003-4844-5474 Inria, COSYS-SII, I4S Team, University Gustave Eiffel, Rennes, FranceSearch for more papers by this authorPalle Andersen, Palle Andersen Structural Vibration Solutions A/S, Aalborg, DenmarkSearch for more papers by this authorLaurent Mevel, Laurent Mevel Inria, COSYS-SII, I4S Team, University Gustave Eiffel, Rennes, FranceSearch for more papers by this author First published: 16 May 2021 https://doi.org/10.1002/stc.2760Citations: 1Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Summary In the context of detecting changes in structural systems, several vibration-based damage detection methods have been proposed and successfully applied to both mechanical and civil structures over the past years. These methods involve computing data-based features, which are then evaluated in statistical tests to detect damages. While being sensitive to damages, the data-based features are affected by changes in the ambient excitation properties that potentially lead to false alarms in the statistical tests, a characteristic that renders their use impractical for structural monitoring. In this paper, a damage detection method is presented that is robust to changes in the covariance of the ambient excitation. The proposed approach is based on the Mahalanobis distance of output covariance Hankel matrices, which are normalized with respect to possibly changing excitation properties. The statistical properties of the developed damage feature are reported and used for efficient hypothesis testing. Its robustness towards changes in the excitation covariance is illustrated on numerical simulations and successfully tested on a numerical offshore foundation model. Open Research DATA AVAILABILITY STATEMENT Research data are not shared. Citing Literature Volume28, Issue8August 2021e2760 RelatedInformation