Article
Spectral diffusion map approach for structural health monitoring of wind turbine blades
2015 American Control Conference (ACC)
Document Type
Conference Proceeding
Disciplines
Conference
2015 American Control Conference (ACC)
Publication Version
Accepted Manuscript
Link to Published Version
https://doi.org/10.1109/ACC.2015.7172249
Publication Date
7-30-2015
DOI
10.1109/ACC.2015.7172249
Conference Date
July 1-3, 2015
Geolocation
(41.8781136, -87.62979819999998)
Abstract
In this paper, we develop data-driven method for the diagnosis of damage in mechanical structures using an array of distributed sensors. The proposed approach relies on comparing intrinsic geometry of data sets corresponding to the undamage and damage state of the system. We use spectral diffusion map approach for identifying the intrinsic geometry of the data set. In particular, time series data from distributed sensors is used for the construction of diffusion map. The low dimensional embedding of the data set corresponding to different damage level is done using singular value decomposition of the diffusion map to identify the intrinsic geometry. We construct appropriate metric in diffusion space to compare the different data set corresponding to different damage cases. The application of this approach is demonstrated for damage diagnosis of wind turbine blades. Our simulation results show that the proposed diffusion map-based metric is not only able to distinguish the damage from undamage system state, but can also determine the extent and the location of the damage.
Rights
Copyright 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Copyright Owner
IEEE
Copyright Date
2015
Language
en
File Format
application/pdf
Citation Information
Venkatesh Chinde, Liang Cao, Umesh Vaidya and Simon Laflamme. "Spectral diffusion map approach for structural health monitoring of wind turbine blades" Chicago, IL2015 American Control Conference (ACC) (2015) p. 5806 - 5811 Available at: http://works.bepress.com/umesh-vaidya/6/
This is a manuscript of a proceeding published as Chinde, Venkatesh, L. Cao, Umesh Vaidya, and S. Laflamme. "Spectral diffusion map approach for structural health monitoring of wind turbine blades." In American Control Conference (ACC), 2015, pp. 5806-5811. IEEE, 2015. DOI: 10.1109/ACC.2015.7172249. Posted with permission.