Structural health monitoring (SHM) has been becoming a key element of monitoring and maintenance in modern and smart cities with critical infrastructures. Within the past decade, SHM approaches are widely used in bridges, roads, skyscrapers, critical facilities, and buildings to enhance the public safety and cost efficiencies of infrastructure maintenance under extreme events, such as earthquakes. Several advanced wave‐based methods, such as sliding discrete Fourier transform, discrete wavelet transform (DWT), and Hilbert transform were broadly used to detect different failure modes of systems. One of the most important deficiencies associated with the state‐of‐the‐art approaches is their high level of sensitivity to the sampling frequency, measurement noise, and damage‐induced pulse parameters. To fill this technical gap, for the first time, this paper proposes a high‐frequency damage detection approach based on the short‐time matrix pencil method (STMPM) that has been used in electrical engineering lately. The advantage of STMPM compared with the similar approaches is using the complex frequencies that are not used before in damage detection applications. In this study, pounding between two adjacent buildings is considered as a case study of high‐frequency damage scenario. The proposed STMPM‐based detection technique is compared with DWT with commonly used mother wavelets. According to the simulation results, the STMPM‐based detection is more robust compared with DWT‐based techniques and has lower sensitivity to the noise parameters and sampling rate.

中文翻译：

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短时矩阵笔法在结构系统高频损伤检测中的应用

结构健康监测（SHM）已成为具有关键基础设施的现代和智慧城市中监测和维护的关键要素。在过去的十年中，SHM方法广泛用于桥梁，道路，摩天大楼，关键设施和建筑物中，以增强公共安全和在极端事件（例如地震）下基础设施维护的成本效率。几种先进的基于波的方法，例如滑动离散傅立叶变换，离散小波变换（DWT）和希尔伯特变换，广泛用于检测系统的不同故障模式。与最新方法相关的最重要缺陷之一是它们对采样频率，测量噪声和损坏引起的脉冲参数的敏感性很高。为了填补这一技术空白，本文提出了一种基于短时矩阵笔法（STMPM）的高频损伤检测方法，该方法最近已在电气工程中使用。与类似方法相比，STMPM的优势在于使用了损伤检测应用中以前没有使用过的复杂频率。在本研究中，将两个相邻建筑物之间的撞击视为高频破坏场景的案例研究。提议的基于STMPM的检测技术与带有常用母小波的DWT进行了比较。根据仿真结果，与基于DWT的技术相比，基于STMPM的检测更加可靠，并且对噪声参数和采样率的敏感性较低。