Structural health monitoring (SHM) is a process of implementing a damage detection strategy in existing structures to evaluate their condition to ensure safety. The changes in the material, geometric and/or structural properties affect structural responses, which can be captured and analyzed for condition assessment. Various vibration-based damage detection algorithms have been developed in the past few decades. Among them, wavelet transform (WT) gained popularity as an efficient method of signal processing to build a framework to identify modal properties and detect damage in structures. This article presents the state-of-the-art implementation of various WT tools in SHM with a focus on civil structures. The unique features and limitations of WT, and a comparison of WT and other signal processing methods, are further discussed. The comprehensive literature review in this study will help interested researchers to investigate the use of WT in SHM to meet their specific needs.

中文翻译：

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小波变换在结构健康监测中的应用

结构健康监测（SHM）是在现有结构中实施损坏检测策略以评估其状况以确保安全的过程。材料，几何和/或结构特性的变化会影响结构响应，可以对其进行捕获和分析以进行状态评估。在过去的几十年中，已经开发了各种基于振动的损伤检测算法。其中，小波变换（WT）作为一种有效的信号处理方法而得到普及，该信号处理方法可用于构建识别模态特性和检测结构损坏的框架。本文介绍了SHM中各种WT工具的最新实现，重点是土木结构。进一步讨论了WT的独特特征和局限性，以及WT与其他信号处理方法的比较。