University Of Tasmania
136511 - Entropy method for structural health monitoring.pdf (7.38 MB)

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

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journal contribution
posted on 2023-05-20, 09:11 authored by Tao, K, Zheng, W, Jiang, D
Acoustic emission (AE) and vibration signal are significant criteria of damage identification in structural health monitoring (SHM) engineering. Multi-disciplinary knowledge and synergistic parameter effects are technical challenges for damage assessment modelling. This study proposes a structural damage cause-and-effect analysis method based on parameter information entropy. Monitoring data is used to form a time-domain feature wave (TFW). The structural strength degradation factor (DF) would be used to define structural damage information entropy (SDIE) vector. The structural damage cause and effect model is developed in a probability sense. A fatigue index is adopted for damage assessment, and a causal strength index is proposed to locate the most likely damage cause. A sandstone-truss structure experiment was conducted to show that the proposed method is effective for damage evaluation and the experimental results provide strong support. This is a statistical damage identification method based on causal logic uncertainty, meaning a complicated mechanics calculation can be avoided.


Publication title

IEEE Access








School of Engineering


Institute of Electrical and Electronics Engineers

Place of publication


Rights statement

Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

Repository Status

  • Open

Socio-economic Objectives

Civil building management and services; Information systems, technologies and services not elsewhere classified