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Reliability Study Regarding the Use of Histogram Similarity Methods for Damage Detection

Author(s): Nicoleta Gillich | Andrea Amalia Minda | Zeno-Iosif Praisach | Carla Protocsil | Peter Lorenz | Gilbert-Rainer Gillich

Journal: Analele Universităţii Eftimie Murgu Reşiţa. Fascicula de Inginerie
ISSN 1453-7397

Volume: XX;
Issue: 3;
Start page: 171;
Date: 2013;
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Keywords: beam | frequency | damage detection | histogram | Minkowski Distance | Kullback-Leibler Divergence | Histogram Intersection

The paper analyses the reliability of three dissimilarity estimators to compare histograms, as support for a frequency-based damage detection method, able to identify structural changes in beam-like structures. First a brief presentation of the own developed damage detection method is made, with focus on damage localization. It consists actually in comparing a histogram derived from measurement results, with a large series of histograms, namely the damage location indexes for all locations along the beam, obtained by calculus. We tested some dissimilarity estimators like the Minkowski-form Distances, the Kullback-Leibler Divergence and the Histogram Intersection and found the Minkowski Distance as the method providing best results. It was tested for numerous locations, using real measurement results and with results artificially debased by noise, proving its reliability.
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