A Review of Key Signal Processing Techniques for Structural Health Monitoring: Highlighting Non-Parametric Time-Frequency Analysis, Adaptive Decomposition, and Deconvolution

A Review of Key Signal Processing Techniques for Structural Health Monitoring: Highlighting Non-Parametric Time-Frequency Analysis, Adaptive Decomposition, and Deconvolution

This paper reviews key signal processing techniques in structural health monitoring (SHM), focusing on non-parametric time–frequency analysis, adaptive decomposition, and deconvolution methods. It examines the short-time Fourier transform (STFT), wavelet transform (WT), and Wigner–Ville distribution...

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Bibliographic Details
Main Authors: Yixin Zhou, Zepeng Ma, Lei Fu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Algorithms
Subjects:
signal processing techniques
structural health monitoring
non-parametric time–frequency analysis
adaptive decomposition
deconvolution
Online Access:https://www.mdpi.com/1999-4893/18/6/318
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