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Guided wave-based structural health monitoring (SHM) remains a powerful strategy for identifying early-stage defects and safeguarding vital aerospace structures. Yet, its practical use is often hindered by the enormous, high-dimensional…

Signal Processing · Electrical Eng. & Systems 2025-04-16 Yiming Fan , Dimitris G Giovanis , Fotis Kopsaftopoulos

Lidar-based SLAM systems are highly sensitive to adverse conditions such as occlusion, noise, and field-of-view (FoV) degradation, yet existing robustness evaluation methods either lack physical grounding or do not capture sensor-specific…

Robotics · Computer Science 2025-12-10 Doumegna Mawuto Koudjo Felix , Xianjia Yu , Zhuo Zou , Tomi Westerlund

Bridge Health Monitoring (BHM) enables early damage detection of bridges and is thus critical for avoiding more severe damages that might result in major financial and human losses. However, conventional BHM systems require dedicated…

Systems and Control · Electrical Eng. & Systems 2022-05-12 Jingxiao Liu , Siyuan Yuan , Bin Luo , Biondo Biondi , Hae Young Noh

Structural Health Monitoring (SHM) evaluates the integrity of a structure by observing its dynamic responses by an array of sensors over time to determine the current health state of the structure. The most important step of SHM is system…

Signal Processing · Electrical Eng. & Systems 2023-09-06 M. R. Davoodi , S. A. Mostafavian , S. R. Nabavian , GH. R. Jahangiri

Structural Health Monitoring (SHM) is increasingly used in civil engineering. One of its main purposes is to detect and assess changes in infrastructure conditions to reduce possible maintenance downtime and increase safety. Ideally, this…

Applications · Statistics 2024-06-04 Philipp Wittenberg , Sven Knoth , Jan Gertheiss

Wireless sensor networks (WSNs) are promising solutions for large infrastructure monitoring because of their ease of installation, computing and communication capability, and cost-effectiveness. Long-term structural health monitoring (SHM),…

Signal Processing · Electrical Eng. & Systems 2019-10-18 Muhammad Zohaib Sarwar , Muhammad Rakeh Saleem , Jong-Woong Park , Do-Soo Moon , Dong Joo Kim

Structural Health Monitoring (SHM) is a critical task for ensuring the safety and reliability of civil infrastructures, typically realized on bridges and viaducts by means of vibration monitoring. In this paper, we propose for the first…

In this work, a probabilistic damage detection and identification scheme using stochastic time series models in the context of acousto-ultrasound guided wave-based SHM is proposed, and its performance is assessed experimentally. In order to…

Signal Processing · Electrical Eng. & Systems 2022-01-28 Shabbir Ahmed , Fotis Kopsaftopoulos

Civil structures are on the verge of changing which leads energy dissipation capacity to decline. Structural Health Monitoring (SHM) as a process in order to implement a damage detection strategy and assess the condition of structure plays…

Signal Processing · Electrical Eng. & Systems 2018-12-07 Sayyed Mohsen Vazirizade , Ali Bakhshi , Omid Bahar

The system identification capabilities of a novel information-theoretic method are examined here. Specifically, this work uses information-theoretic metrics and vibration-based measurements to enhance damping estimation accuracy in…

Signal Processing · Electrical Eng. & Systems 2026-04-01 Marios Impraimakis , Feiyu Zhou , Andrew Plummer

Damage prognosis is, arguably, one of the most difficult tasks of structural health monitoring (SHM). To address common problems of damage prognosis, a population-based SHM (PBSHM) approach is adopted in the current work. In this approach…

Machine Learning · Computer Science 2024-09-30 George Tsialiamanis , Keith Worden , Nikolaos Dervilis , Aidan J Hughes

This paper presents a new learning based Stochastic Hybrid System (LSHS) framework designed for the detection and classification of contingencies in modern power systems. Unlike conventional monitoring schemes, the proposed approach is…

Systems and Control · Electrical Eng. & Systems 2025-12-30 Hamid Varmazyari , Masoud H. Nazari

Structural health monitoring (SHM) strategies involve the processing of structural response data to indirectly assess an asset's condition. These strategies can be enhanced for a group of structures, especially when they are similar, since…

Estimating the number of degrees of freedom of a mechanical system or an engineering structure from the time-series of a small set of sensors is a basic problem in diagnostics, which, however, is often overlooked when monitoring their…

Data Analysis, Statistics and Probability · Physics 2022-03-08 Paolo Celli , Maurizio Porfiri

Structural damage due to excessive loading or environmental degradation typically occurs in localized areas in the absence of collapse. This prior information about the spatial sparseness of structural damage is exploited here by a…

Applications · Statistics 2015-03-29 Yong Huang , James L. Beck

Structural Health Monitoring (SHM) provides an economic approach which aims to enhance understanding the behavior of structures by continuously collects data through multiple networked sensors attached to the structure. This data is then…

Machine Learning · Computer Science 2021-11-05 Ali Anaissi , Basem Suleiman , Seid Miad Zandavi

A Single Ensemble Empirical Mode Decomposition (SEEMD) is proposed for locating the damage in rolling element bearings. The SEEMD does not require a number of ensembles from the addition or subtraction of noise every time while processing…

Signal Processing · Electrical Eng. & Systems 2025-02-13 Yaakoub Berrouche , Govind Vashishtha , Sumika Chauhan , Radoslaw Zimroz

Structural health monitoring (SHM) has been an active research area for the last three decades, and has accumulated a number of critical advances over that period, as can be seen in the literature. However, SHM is still facing challenges…

Machine Learning · Computer Science 2022-08-31 Tina A Dardeno , Lawrence A Bull , Robin S Mills , Nikolaos Dervilis , Keith Worden

A portable imaging system for the on-site detection of shoulder injury is necessary to identify its extent and avoid its development to severe condition. Here, firstly a microwave tomography system is introduced using state-of-the-art…

Predicting power system component outages in response to an imminent hurricane plays a major role in preevent planning and post-event recovery of the power system. An exact prediction of components states, however, is a challenging task and…

Systems and Control · Computer Science 2018-02-19 Rozhin Eskandarpour , Amin Khodaei