Article
Instruments & Instrumentation
Yuan Chai, Yihan Wang, Qijian Liu, Xinlin Qing
Summary: Rotating machinery has diverse applications, and the gear transmission system is a crucial component. Failure in the gear system can result in equipment damage and production disruption. Therefore, it is important to monitor the gear system's health under static and running conditions. This paper innovatively applies guided waves technology to the condition monitoring of gear systems in low-speed rotating machinery.
SMART MATERIALS AND STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Clarisse Aujoux, Olivier Mesnil
Summary: This paper focuses on the environmental assessment of guided wave-based structural health monitoring (GW-SHM). Two prospective applications, railroad monitoring and wind turbine monitoring, are studied, and a complete GW-SHM system prototype is defined to quantify its environmental impact. The study finds that the system is either carbon neutral or carbon negative for the considered functional units.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Piero Paialunga, Joseph Corcoran
Summary: This paper proposes a damage detection method using permanently installed guided wave sensors, which involves identifying changes in A-scan data from a defect-free state. The method utilizes the unique amplitude-temperature dependence and associated uncertainty of each location in an A-scan to determine an adaptive threshold. The performance of the method exceeds that of Optimal baseline subtraction (OBS) when the training set exceeds around 40 measurements.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Kang Yang, Sungwon Kim, Joel B. Harley
Summary: This paper investigates the effectiveness of joint compression and denoising strategies using realistic, long-term guided wave structural health monitoring data. It explores how to optimize data collection and algorithms to utilize guided wave data for compression, denoising, and damage detection.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Chemistry, Analytical
Jan Niklas Haus, Walter Lang, Thomas Roloff, Liv Rittmeier, Sarah Bornemann, Hael Sinap, Andreas Dietzel
Summary: This study developed a robust MEMS vibrometer for structural health monitoring by recording internal displacement oscillations. The vibrometer was mainly realized using pressure sensor processes, with additional femtosecond laser ablation and encapsulation techniques.
Article
Chemistry, Analytical
Sergio Cantero-Chinchilla, Gerardo Aranguren, Jose Manuel Royo, Manuel Chiachio, Josu Etxaniz, Andrea Calvo-Echenique
Summary: This paper introduces a new damage index called degree of health (DoH) for real-time structural damage monitoring, using a pattern matching methodology based on fuzzy logic fundamentals. The proposed approach demonstrates efficiency and robustness in qualitative and quantitative assessment of fatigue crack damage using ultrasonic signals and transmission beamforming technique.
Article
Engineering, Multidisciplinary
Kang Yang, Sungwon Kim, Rongting Yue, Haotian Yue, Joel B. Harley
Summary: The article introduces a long short-term principal component analysis reconstruction method for detecting synthetic damage under highly variable environmental conditions, achieving a near 0.95 area under curve score without the need for any temperature or other compensation methods.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Ilias N. Giannakeas, Zahra Sharif Khodaei, M. H. Aliabadi
Summary: This paper presents a novel framework for compensating the effect of temperature on guided wave structural health monitoring systems. The proposed methodology updates compensation factors using observations obtained at lower scales and propagates the estimated factors to higher scales within a Bayesian framework. The results show that the proposed methodology improves the fidelity of the compensation algorithm and enhances the performance of damage detection and localization.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Review
Engineering, Aerospace
Fabrizio Ricci, E. Monaco, N. D. Boffa, L. Maio, V Memmolo
Summary: Structural Health Monitoring (SHM) systems are valuable tools for diagnosing and preventing critical damage in engineered structural systems. These systems aim to identify deterioration, evaluate the need for maintenance or inspection, and reduce life-cycle costs.
PROGRESS IN AEROSPACE SCIENCES
(2022)
Article
Computer Science, Software Engineering
Sergio Cantero-Chinchilla, James L. Beck, Juan Chiachio, Manuel Chiachio, Dimitrios Chronopoulos
Summary: OptiSens is a computational platform in Python and Matlab that provides optimal sensor and actuator configurations for structural health monitoring applications using ultrasonic guided-waves. This software formulates a convex entropy-based objective function to minimize uncertainty and maximize the expected accuracy of the monitoring system in localizing structural damage. The platform is specialized for isotropic and composite (anisotropic) materials, and its effectiveness and efficiency are demonstrated using plate-like structures made of different materials.
Article
Engineering, Multidisciplinary
Paulo Dambros Menin, Lucio de Abreu Correa, Thomas Gabriel Rosauro Clarke, Denis Alvin Liang
Summary: A guided wave monitoring system for storage tanks of floating production storage and offloading units was tested on a representative panel. The system was capable of detecting localised wall loss and indicating its position. Post-processing methods improved the signal-to-noise ratio and amplification ratios of damage to artefact.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Construction & Building Technology
Jagadeeshwar L. Tabjula, Srijith Kanakambaran, Sheetal Kalyani, Prabhu Rajagopal, Balaji Srinivasan
Summary: This approach proposes a statistical method for defect identification and localization in composite plates with a reduced number of sensing points compared to conventional imaging techniques. It utilizes outlier detection and median absolute deviation computation for efficient detection of defects. Extensive simulations confirm robustness and experimental results show successful detection of delamination even under low SNR conditions.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Engineering, Multidisciplinary
Phong B. Dao, Wieslaw J. Staszewski
Summary: This study aims to address the technical challenges in applying cointegration theory to structural health monitoring (SHM). Through simulation data and a case study, it provides a clear explanation of how cointegration can be used to remove common trends, detect faults and damages, and understand the relationships between cointegrated variables and residuals. The results demonstrate the effectiveness of cointegration in addressing these issues.
Article
Chemistry, Analytical
Gaofeng Sha, Cliff J. Lissenden
Summary: Ultrasonic guided waves can be used for structural health monitoring of plate-like structures by interacting with SH waves and Lamb waves. Magnetostrictive transducers show potential for generating and receiving these waves, with simulations helping to optimize their characteristics for various applications. Increasing the number of turns in the meander coil can enhance sensitivity and reduce frequency bandwidth for the MST as a receiver.
Article
Engineering, Multidisciplinary
Ahmad Amer, Fotis P. Kopsaftopoulos
Summary: A novel statistical framework for active-sensing SHM based on ultrasonic guided waves is proposed in this study, with three methods and corresponding statistical quantities experimentally evaluated for damage detection, showing increased sensitivity and robustness compared to conventional approaches, as well as better tracking capability of damage evolution.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Multidisciplinary Sciences
Baofeng Jiang, Pengjiao Jia, Wen Zhao, Wentao Wang
Article
Construction & Building Technology
Wentao Wang, Hui Zhang, Jerome P. Lynch, Carlos E. S. Cesnik, Hui Li
STRUCTURAL CONTROL & HEALTH MONITORING
(2018)
Article
Engineering, Multidisciplinary
Andrew R. Burton, Peng Sun, Jerome P. Lynch
Summary: A bio-compatible wireless inductive strain-sensing system is proposed for monitoring the growth and strain response of bone-hosting implants. Thin-film circuit fabrication methods are adopted to develop a passive resistive-inductive-capacitive sensor designed to measure bone strain. Two forms of strain sensing are designed into the thin-film sensor, allowing for measurement of bone growth and hoop strain.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Chemistry, Analytical
Pengju Xu, Wentao Wang
Article
Engineering, Mechanical
Rui Hou, Jerome P. Lynch, Mohammed M. Ettouney, Peter O. Jansson
JOURNAL OF ENGINEERING MECHANICS
(2020)
Review
Engineering, Multidisciplinary
Stavroula Tsiapoki, Omid Bahrami, Moritz W. Haeckell, Jerome P. Lynch, Raimund Rolfes
Summary: This article proposes the utilization of AdaBoost algorithm for combining damage feature decisions in structural health monitoring algorithms to enhance detection accuracy. The experimental results show that AdaBoost classifier outperforms the framework classifiers in improving detection performance. The boosting potential can be evaluated based on the relative location of condition parameter values in the parameter space and quantified using the Bhattacharyya coefficient.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Katherine A. Flanigan, Jerome P. Lynch, Mohammed Ettouney
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2020)
Article
Engineering, Multidisciplinary
Katherine A. Flanigan, Jerome P. Lynch, Mohammed Ettouney
Summary: The challenge in structural health monitoring lies in establishing a quantitative link between data and decisions. Current methods of structural health monitoring struggle in estimating structural state and detecting damage, but the authors propose a method of quantifying reliability index values corresponding to lower limit states of condition ratings using long-term monitoring data.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Katherine A. Flanigan, Jerome P. Lynch
Summary: This research focuses on the balance between energy harvesting and data transmission in wireless sensing networks, proposing an optimal strategy to maximize the information rate of data transmission for the best estimation of process parameters.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Construction & Building Technology
Hao Zhou, Jerome Lynch, Dimitrios Zekkos
Summary: This study proposes the feasibility of using an autonomous UAV for sensor placement and improves the localization accuracy using computer vision and inertial measurements. The measurement fusion is achieved through a discrete Kalman filter, enabling the UAV to land accurately on structures.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Proceedings Paper
Engineering, Civil
Gabriel Draughon, Jerome Lynch, Liming Salvino
Summary: This paper presents a framework for integrating real-time human biometric monitoring and human activity recognition using big data analytics, which can revolutionize human health and performance monitoring. The experiments conducted in the MCity facility demonstrate the integration of computer vision detection algorithms and on-body sensors, showing the potential for industrial and defense applications in monitoring personnel in various environments.
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 1
(2023)
Article
Engineering, Biomedical
Wentao Wang, Jerome P. Lynch
BIOMEDICAL ENGINEERING LETTERS
(2020)
Proceedings Paper
Medicine, Research & Experimental
Wentao Wang, Jerome P. Lynch
HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS XII
(2018)