Gaussian Mixture Model Based Damage Evaluation for Aircraft Structures

Gaussian Mixture Model Based Damage Evaluation for Aircraft Structures

Qiuhui Xu, Shenfang Yuan, Yuanqiang Ren

Abstract. The Guided Wave (GW) based Structural Health Monitoring (SHM) method is of significant research interest because of its wide monitoring range and high sensitivity. However, there are still many challenges in real engineering applications due to complex time-varying conditions, such as changes in temperature and humidity, random dynamic loads, and structural boundary conditions. In this paper, a Gaussian Mixture Model (GMM) is adopted to deal with these problems. Multi-dimensional GMM (MDGMM) is proposed to model the probability distribution of GW features under time-varying conditions. Furthermore, to measure the migration degree of MDGMM to reveal the crack propagation, research on migration indexes of the probability model is carried out. Finally, the validation in an aircraft fatigue test shows a good performance of the MDGMM.

Keywords
Structural Health Monitoring, Guided Wave Features, Aircraft Fatigue Test, Multi-Dimensional Gaussian Mixture Model, Migration Index

Published online 2/20/2021, 7 pages
Copyright © 2021 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Qiuhui Xu, Shenfang Yuan, Yuanqiang Ren, Gaussian Mixture Model Based Damage Evaluation for Aircraft Structures, Materials Research Proceedings, Vol. 18, pp 154-160, 2021

DOI: https://doi.org/10.21741/9781644901311-18

The article was published as article 18 of the book Structural Health Monitoring

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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