A Machine Learning-based Damage Prediction Techniques for Structural Health Monitoring
نویسندگان
چکیده
منابع مشابه
A Study of Supervised Machine Learning Techniques for Structural Health Monitoring
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In the field of structural health monitoring, researchers focus on the design of systems and techniques capable of detecting damage in structures. However, it is difficult to develop robust detection schemes that are invariant to environmental and operational conditions. In this report, we investigate several signal processing and machine learning techniques for developing such robust systems. ...
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In broad terms, there are two approaches to damage identification. Model-driven methods establish a high-fidelity physical model of the structure, usually by finite element analysis, and then establish a comparison metric between the model and the measured data from the real structure. If the model is for a system or structure in normal (i.e. undamaged) condition, any departures indicate that t...
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ژورنال
عنوان ژورنال: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
سال: 2021
ISSN: 1309-4653
DOI: 10.17762/turcomat.v12i2.2401