Structural health monitoring (SHM) is one of the most emerging approaches for early damage detection, which leads to improved safety and efficient maintenance of large-scale civil structures. Data-driven vibration-based SHM techniques rely on sophisticated signal processing methods to analyze and interpret the complex measured data collected from the instrumented structures. Empirical mode decomposition (EMD) is one of the robust time-frequency decomposition techniques that has been widely used in SHM. Numerous studies have used EMD and its variants in different applications specific to structural modal identification and damage detection, which have been presented in various academic journals, conference papers, and technical reports. This paper presents a comprehensive and systematic review and summary of applications of EMD and its variants that have been extensively implemented in SHM. A brief background and illustration of EMD and its variants are presented first to show th...

中文翻译：

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经验模式分解及其变体：结构健康监测中的应用综述

结构健康监测（SHM）是用于早期损坏检测的最新方法之一，可提高大型民用建筑的安全性和有效维护。基于数据的基于振动的SHM技术依靠复杂的信号处理方法来分析和解释从仪器结构中收集的复杂测量数据。经验模式分解（EMD）是已在SHM中广泛使用的鲁棒的时频分解技术之一。许多研究已将EMD及其变体用于特定于结构模态识别和损伤检测的不同应用中，并已在各种学术期刊，会议论文和技术报告中进行了介绍。本文介绍了已在SHM中广泛实施的EMD及其变体的应用的全面，系统的综述和总结。首先介绍了EMD及其变体的简要背景和说明，以展示EMD及其变体。