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Related papers: Vibration-Based Damage Detection in Wind Turbine B…

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Guided wave-based techniques have been used extensively in Structural Health Monitoring (SHM). Models using guided waves can provide information from both time and frequency domains to make themselves accurate and robust. Probabilistic SHM…

Signal Processing · Electrical Eng. & Systems 2025-05-06 Yiming Fan , Fotis Kopsaftopoulos

A major challenge in Structural Health Monitoring (SHM) is to accurately identify both the location and severity of damage using the dynamic response information acquired. While in theory the vibration-based and impedance-based methods may…

Computational Engineering, Finance, and Science · Computer Science 2018-10-30 Pei Cao , Qi Shuai , Jiong Tang

Structural Health Monitoring (SHM) plays an indispensable role in ensuring the longevity and safety of infrastructure. With the rapid growth of sensor technology, the volume of data generated from various structures has seen an…

Signal Processing · Electrical Eng. & Systems 2023-08-24 Yang Yu , Han Chen

The difficulty in quantifying the benefit of Structural Health Monitoring (SHM) for decision support is one of the bottlenecks to an extensive adoption of SHM on real-world structures. In this paper, we present a framework for such a…

Applications · Statistics 2022-10-06 Antonios Kamariotis , Eleni Chatzi , Daniel Straub

Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, integrity and…

Signal Processing · Electrical Eng. & Systems 2020-08-26 Onur Avci , Osama Abdeljaber , Serkan Kiranyaz , Mohammed Hussein , Moncef Gabbouj , Daniel J. Inman

Most reported research for monitoring health of pipelines using ultrasonic guided waves (GW) typically utilize bulky piezoelectric transducer rings and laboratory-grade ultrasonic non-destructive testing (NDT) equipment. Consequently, the…

Signal Processing · Electrical Eng. & Systems 2024-03-19 Sheetal Patil , Sauvik Banerjee , Siddharth Tallur

While purely data-driven assessment is feasible for the first levels of the Structural Health Monitoring (SHM) process, namely damage detection and arguably damage localization, this does not hold true for more advanced processes. The tasks…

Computational Engineering, Finance, and Science · Computer Science 2021-05-03 Thomas Simpson , Vasilis Dertimanis , Costas Papadimitriou , Eleni Chatzi

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

Most wind turbines are remotely monitored 24/7 to allow for an early detection of operation problems and developing damage. We present a new fault detection method for vibration-monitored drivetrains that does not require any feature…

Machine Learning · Computer Science 2022-06-28 Stefan Jonas , Dimitrios Anagnostos , Bernhard Brodbeck , Angela Meyer

This study presents an integrated methodology for fault detection in wind turbine blades using 3D-printed scaled models, finite element simulations, experimental modal analysis, and machine learning techniques. A scaled model of the NREL…

Machine Learning · Computer Science 2025-05-12 Luis Miguel Esquivel-Sancho , Maryam Ghandchi Tehrani , Mauricio Muñoz-Arias , Mahmoud Askari

As essential components of the modern urban system, the health conditions of civil structures are the foundation of urban system sustainability and need to be continuously monitored. In Structural Health Monitoring (SHM), many existing…

Applications · Statistics 2018-12-18 Yizheng Liao , Ram Rajagopal

Within a structural health monitoring (SHM) framework, we propose a simulation-based classification strategy to move towards online damage localization. The procedure combines parametric Model Order Reduction (MOR) techniques and Fully…

Machine Learning · Computer Science 2021-03-29 Luca Rosafalco , Matteo Torzoni , Andrea Manzoni , Stefano Mariani , Alberto Corigliano

Vibration signals have been increasingly utilized in various engineering fields for analysis and monitoring purposes, including structural health monitoring, fault diagnosis and damage detection, where vibration signals can provide valuable…

Signal Processing · Electrical Eng. & Systems 2023-07-25 Youzhi Liang , Wen Liang , Jianguo Jia

Image-based vibration mode identification gained increased attentions in civil and construction communities. A recent video-based motion magnification method was developed to measure and visualize small structure motions. This new approach…

Computer Vision and Pattern Recognition · Computer Science 2017-12-19 Zhexiong Shang , Zhigang Shen

The high structural deficient rate poses serious risks to the operation of many bridges and buildings. To prevent critical damage and structural collapse, a quick structural health diagnosis tool is needed during normal operation or…

Applications · Statistics 2018-12-10 Yizheng Liao , Anne S. Kiremidjian , Ram Rajagopal , Chin-Hsuing Loh

An integrated and automated smart structures approach for structural health monitoring is presented, utilizing an array of piezoelectric transducers attached to or embedded within the structure for both actuation and sensing. The system…

Sound · Computer Science 2015-05-13 Peter F. Lichtenwalner , Donald A. Sofge

The use of ultrasonic guided waves to probe the materials/structures for damage continues to increase in popularity for non-destructive evaluation (NDE) and structural health monitoring (SHM). The use of high-frequency waves such as these…

A growing number of wind turbines are equipped with vibration measurement systems to enable a close monitoring and early detection of developing fault conditions. The vibration measurements are analyzed to continuously assess the component…

Machine Learning · Computer Science 2022-02-17 Angela Meyer

The knowledge gap in the expected and actual conditions of bridges has created worldwide deficits in infrastructure service and funding challenges. Despite rapid advances over the past four decades, sensing technology is still not a part of…

Population-based structural health monitoring (PBSHM), aims to share information between members of a population. An offshore wind (OW) farm could be considered as a population of nominally-identical wind-turbine structures. However, benign…

Machine Learning · Computer Science 2024-09-23 S. M. Smith , A. J. Hughes , T. A. Dardeno , L. A. Bull , N. Dervilis , K. Worden