What is it about?

Wavelet transformation has been used in the literature for damage detection and structural health monitoring. In this paper a novel approach based on Wavelet Coefficient Differences and Multi resolution is present3d that makes the damage detection more accurate and more effective.

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Why is it important?

Interpretation of data collected from sensors, especially for large volume of collected data , is a challenge in structural health monitoring. The proposed approach offers a more effective and computationally more efficient approach for this problem.


This paper is part of a series of extensive studies by the authors introducing novel techniques based on Wavelet Transformation for structural health monitoring. These topics have nnot been addressed in the literature in a methodical way. Prior approaches have been based on ad-hoc and trial and error schemes.

Professor Mohammad Noori
California Polytechnic State University

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This page is a summary of: Mode shape-based damage identification for a reinforced concrete beam using wavelet coefficient differences and multiresolution analysis, Structural Control and Health Monitoring, June 2017, Wiley,
DOI: 10.1002/stc.2041.
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