Damage Classification Approach for Concrete Structure Using Support Vector Machine Learning of Decomposed Electromechanical Admittance Signature via Discrete Wavelet Transform

Damage Classification Approach for Concrete Structure Using Support Vector Machine Learning of Decomposed Electromechanical Admittance Signature via Discrete Wavelet Transform

The identification of structural damage types remains a key challenge in electromechanical impedance/admittance (EMI/EMA)-based structural health monitoring realm. This paper proposed a damage classification approach for concrete structures by using integrating discrete wavelet transform (DWT) decom...

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Bibliographic Details
Main Authors: Jingwen Yang, Demi Ai, Duluan Zhang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
concrete structure
electro-mechanical admittance (EMA)
support vector machine (SVM)
piezoelectric ceramic (PZT) sensor
damage classification
discrete wavelet transform (DWT)
Online Access:https://www.mdpi.com/2075-5309/15/15/2616
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