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Entropy method for structural health monitoring based on statistical cause and effect analysis of acoustic emission and vibration signals

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Tao, K, Zheng, W and Jiang, D ORCID: 0000-0002-7738-0078 2019 , 'Entropy method for structural health monitoring based on statistical cause and effect analysis of acoustic emission and vibration signals' , IEEE Access, vol. 7 , pp. 172515-172525 , doi: 10.1109/ACCESS.2019.2956289.

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Abstract

Acoustic emission (AE) and vibration signal are significant criteria of damage identificationin structural health monitoring (SHM) engineering. Multi-disciplinary knowledge and synergistic parametereffects are technical challenges for damage assessment modelling. This study proposes a structural damagecause-and-effect analysis method based on parameter information entropy. Monitoring data is used to forma time-domain feature wave (TFW). The structural strength degradation factor (DF) would be used to definestructural damage information entropy (SDIE) vector. The structural damage cause and effect model isdeveloped in a probability sense. A fatigue index is adopted for damage assessment, and a causal strengthindex is proposed to locate the most likely damage cause. A sandstone-truss structure experiment wasconducted to show that the proposed method is effective for damage evaluation and the experimental resultsprovide strong support. This is a statistical damage identification method based on causal logic uncertainty,meaning a complicated mechanics calculation can be avoided.

Item Type: Article
Authors/Creators:Tao, K and Zheng, W and Jiang, D
Keywords: structural health monitoring, acoustic emission, cause-and-effect analysis, parameter information entropy
Journal or Publication Title: IEEE Access
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 2169-3536
DOI / ID Number: 10.1109/ACCESS.2019.2956289
Copyright Information:

Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

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