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DATA NORMALIZATION [electronic resource] : A KEY FOR STRUCTURAL HEALTH MONITORING

Published
Washington, D.C. : United States. Dept. of Energy, 2001.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
12 pages : digital, PDF file
Additional Creators
Los Alamos National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
Structural health monitoring (SHM) is the implementation of a damage detection strategy for aerospace, civil and mechanical engineering infrastructure. Typical damage experienced by this infrastructure might be the development of fatigue cracks, degradation of structural connections, or bearing wear in rotating machinery. For SHM strategies that rely on vibration response measurements, the ability to normalize the measured data with respect to varying operational and environmental conditions is essential if one is to avoid false-positive indications of damage. Examples of common normalization procedure include normalizing the response measurements by the measured inputs as is commonly done when extracting modal parameters. When environmental cycles influence the measured data, a temporal normalization scheme may be employed. This paper will summarize various strategies for performing this data normalization task. These strategies fall into two general classes: (1) Those employed when measures of the varying environmental and operational parameters are available; (2) Those employed when such measures are not available. Whenever data normalization is performed, one runs the risk that the damage sensitive features to be extracted from the data will be obscured by the data normalization procedure. This paper will summarize several normalization procedures that have been employed by the authors and issues that have arose when trying to implement them on experimental and numerical data.
Report Numbers
E 1.99:la-ur-01-4212
la-ur-01-4212
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Note
Published through SciTech Connect.
01/01/2001.
"la-ur-01-4212"
"Submitted to: 3rd Int'l workshop/structural health monitoring, Stanford University, Sanford, CA, September 17-19, 2001.".
Farrar, C. R.; Sohn, H.; Worden, K.
View MARC record | catkey: 14107275