Linear Projection Techniques in Damage Detection Under a Changing Environment
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Author / Producer
Date
2014
Publication Type
Conference Paper, Conference Paper
ETH Bibliography
no
Citations
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Rights / License
Abstract
The merit of linear projections as a way to improve the resolution in damage detection under changing environmental conditions is examined. It is contended that if the data from the reference condition is balanced, in the sense that the number of feature vectors available for the various temperatures is similar, then projections, such as those in Principal Component Analysis and Factor Analysis, will not improve performance. Projections, however, help to control the false positive rate when the reference data set is not balanced. Analysis and simulation results suggest that previous claims on the merit of projection as a way to improve damage detection resolution under environmental variability may be too optimistic.
Permanent link
Publication status
published
External links
Book title
Topics in Modal Analysis
Volume
7
Pages / Article No.
325 - 332
Publisher
Springer
Event
31st Conference and Exposition on Structural Dynamics (IMAC-XXXI)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Structural Health Monitoring; Damage Detection; Environmental Variability; Factor Analysis; Principal Component Analysis
Organisational unit
09469 - Kaufmann, Walter / Kaufmann, Walter