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Journal articles on the topic 'SHM-POD'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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1

Falcetelli, Francesco, Nan Yue, Leonardo Rossi, et al. "A Model-Assisted Probability of Detection Framework for Optical Fiber Sensors." Sensors 23, no. 10 (2023): 4813. http://dx.doi.org/10.3390/s23104813.

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Optical fiber sensors (OFSs) represent an efficient sensing solution in various structural health monitoring (SHM) applications. However, a well-defined methodology is still missing to quantify their damage detection performance, preventing their certification and full deployment in SHM. In a recent study, the authors proposed an experimental methodology to qualify distributed OFSs using the concept of probability of detection (POD). Nevertheless, POD curves require considerable testing, which is often not feasible. This study takes a step forward, presenting a model-assisted POD (MAPOD) appro
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2

Galasso, Bernardino, Monica Ciminello, Gianvito Apuleo, David Bardenstein, and Antonio Concilio. "Performance Evaluation of Structural Health Monitoring System Applied to Full-Size Composite Wing Spar via Probability of Detection Techniques." Sensors 24, no. 16 (2024): 5216. http://dx.doi.org/10.3390/s24165216.

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Probability of detection (POD) is an acknowledged mean of evaluation for many investigations aiming at detecting some specific property of a subject of interest. For instance, it has had many applications for Non-Destructive Evaluation (NDE), aimed at identifying defects within structural architectures, and can easily be used for structural health monitoring (SHM) systems, meant as a compact and more integrated evolution of the former technology. In this paper, a probability of detection analysis is performed to estimate the reliability of an SHM system, applied to a wing box composite spar fo
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3

Güemes, Alfredo, Antonio Fernandez-Lopez, Angel Renato Pozo, and Julián Sierra-Pérez. "Structural Health Monitoring for Advanced Composite Structures: A Review." Journal of Composites Science 4, no. 1 (2020): 13. http://dx.doi.org/10.3390/jcs4010013.

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Condition-based maintenance refers to the installation of permanent sensors on a structure/system. By means of early fault detection, severe damage can be avoided, allowing efficient timing of maintenance works and avoiding unnecessary inspections at the same time. These are the goals for structural health monitoring (SHM). The changes caused by incipient damage on raw data collected by sensors are quite small, and are usually contaminated by noise and varying environmental factors, so the algorithms used to extract information from sensor data need to focus on sensitive damage features. The d
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4

Szewieczek, Artur, Christian Willberg, Daniel Schmidt, and Michael Sinapius. "Virtual sensors for SHM using isogeometric piezoelectric finite elements." International Journal of Structural Integrity 6, no. 6 (2015): 704–13. http://dx.doi.org/10.1108/ijsi-11-2014-0064.

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Purpose – A design of sensor networks for structural health monitoring (SHM) with guided waves poses a hard challenge. Therefore different approaches are possible. A known one is the usage of probability of detection (POD) criteria. Here, areas of potential impact sensitivity are calculated for every sensor which leads to a POD. The number of sensors is increased until a demanded POD is reached. However, these calculations are usually based on finite element methods and underlie different assumptions and approximations which can cause different inaccuracies. These limitations are avoided by us
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5

Kamali, Soroosh, Said Quqa, Antonio Palermo, and Alessandro Marzani. "An approach to define the minimum detectable damage and the alarm thresholds in vibration-based SHM systems." Journal of Physics: Conference Series 2647, no. 18 (2024): 182008. http://dx.doi.org/10.1088/1742-6596/2647/18/182008.

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Abstract This paper proposes an approach to defining the alarm thresholds for vibration-based structural health monitoring (SHM). The approach uses natural frequencies identified from the acceleration response of the monitored structure and is based on the concept of Minimum Detectable Damage (MDD), namely the smallest damage size in each structural element associated with a given probability of detection (POD) and probability of false alarm (PFA). The approach is demonstrated using natural frequencies computed from finite element models of the healthy and damaged structure, also accounting fo
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6

Gobat, Giorgio, Saeed Eftekhar Azam, and Stefano Mariani. "SHM and Efficient Strategies for Reduced-Order Modeling." Engineering Proceedings 2, no. 1 (2021): 98. http://dx.doi.org/10.3390/engproc2020002098.

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Within model-based approaches to structural health monitoring (SHM), numerical simulations must be tailored to continuously adapt to the degradation processes and to the possibly changing environment. This model update stage of the analysis brings two competing requirements: the accuracy of the model, with a more detailed description of the phenomena required where damage is supposed to take place; the efficiency of the model, to reduce the overall computational burden and allow for real-time (or close to real-time) computing. Without resorting to AI-based strategies, approaches solely based o
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7

Trbović, Borislav. "PRIMENA SENZORA U OKVIRU SHM KONCEPTA KROZ REŠENJE KREIRANO POMOĆU LABVIEW PROGRAMSKOG OKRUŽENJA." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 37, no. 09 (2022): 1435–38. http://dx.doi.org/10.24867/19be14trbovic.

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U radu je opisan značaj primene seznora u mernim uređajima kroz primer jedne bitne oblasti u građevinarstvu poznate pod nazivom „Praćenje stanja građevinskih konstrukcija“ (eng. Structural health monitoring - SHM). Takođe, opisan je i sistem koji je realizovan sa ciljem da obezbedi neophodna merenja. Merene su vibracije, uz ređe praćenje temperature. Postoji i mogućnost alarmiranja korisnika u slučaju kritičnih vibracija, filtracija podataka, računanje FFT-a, snimanje dobijenih rezultata, njihovo otvaranje i obrada u nekom od drugih softverskih paketa. Sistem je realizovan unutar LabVIEW progr
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8

Bayoumi, Ahmed, Tobias Minten, and Inka Mueller. "Determination of Detection Probability and Localization Accuracy for a Guided Wave-Based Structural Health Monitoring System on a Composite Structure." Applied Mechanics 2, no. 4 (2021): 996–1008. http://dx.doi.org/10.3390/applmech2040058.

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The capabilities of detection and localization of damage in a structure, using a guided wave-based structural health monitoring (GWSHM) system, depend on the damage location and the chosen sensor array setup. This paper presents a novel approach to assess the reliability of an SHM system enabling to quantify localization accuracy. A two-step technique is developed to combine multiple paths to generate one probability of detection (POD) curve that provides information regarding the detection capability of an SHM system at a defined damage position. Moreover, a new method is presented to analyze
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9

Gagar, Daniel, Peter Foote, and Phil E. Irving. "Detection and Monitoring of Fatigue Cracks in Metallic Structures Using Acoustic Emission: Routes to Quantification of Probability of Detection." Advanced Materials Research 891-892 (March 2014): 1268–74. http://dx.doi.org/10.4028/www.scientific.net/amr.891-892.1268.

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The performance and reliability of Structural Health Monitoring (SHM) techniques remain largely unquantified. This is in contrast to the probability of detection (POD) and sensitivity of manual non destructive inspection methods which are well characterised. In this study factors influencing the rates of emission of Acoustic Emission (AE) signals from propagating fatigue cracks were investigated. Fatigue crack growth experiments were performed in 2014 T6 aluminium sheet to observe the effects of changes in crack length, loading spectrum and sample geometry on rates of emission and the probabil
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10

Wilcox, Paul D., C. K. Lee, Jonathan J. Scholey, Michael I. Friswell, M. R. Wisnom, and B. W. Drinkwater. "Progress Towards a Forward Model of the Complete Acoustic Emission Process." Advanced Materials Research 13-14 (February 2006): 69–76. http://dx.doi.org/10.4028/www.scientific.net/amr.13-14.69.

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Acoustic emission (AE) techniques have obvious attractions for structural health monitoring (SHM) due to their extreme sensitivity and low sensor density requirement. A factor preventing the adoption of AE monitoring techniques in certain industrial sectors is the lack of a quantitative deterministic model of the AE process. In this paper, the development of a modular AE model is described that can be used to predict the received time-domain waveform at a sensor as a result of an AE event elsewhere in the structure. The model is based around guided waves since this is how AE signals propagate
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11

M.P. SAHU, ML KEWAT, A.K. JHA, et al. "Effect of crop residue and weed management on weed incidence, soil moisture and yield of chickpea." Indian Journal of Agronomy 68, no. 4 (2024): 404–12. http://dx.doi.org/10.59797/ija.v68i4.5463.

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Chickpea is a major pulse crop which is grown and consumed by the Indian people. Due to poor weed competition ability of chickpea and very few weed management options, yield of chickpea is drastically reduced under vertisols. Therefore, the present study related to weed management and crop residues on weed incidence, yield attributing character and yield of chickpea was conducted at Research Farm of JNKVV, Jabalpur (MP), India. A field experiment was undertaken in split plot design with 3 replications and 4 weed-management treatment in main-plot and four crop residues as sub-plot. The main plo
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12

Marrazzo, Massimiliano, Zahra Sharif Khodaei, and M. H. Ferri Aliabadi. "Laplace Domain Boundary Element Method for Structural Health Monitoring of Poly-Crystalline Materials at Micro-Scale." Applied Sciences 13, no. 24 (2023): 13138. http://dx.doi.org/10.3390/app132413138.

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This paper describes, for the first time, the application of an Elastodynamic Boundary Element Method (BEM) in Laplace Domain for the Structural Health Monitoring (SHM) of poly-crystalline materials. The study focuses on Ultrasonic Guided Wave (UGW) propagation and investigates the wave–material interactions at micro-scale. The study aims to investigate the interaction of UGWs with assessing micro-structural features such as grain size, morphology, degradation, and flaws. Numerical simulations of the most common micro-structural features demonstrate the accuracy and validity of the proposed me
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13

Rentala, Vamsi Krishna, Daniel Kanzler, Sylvia Kessler, Yogi Jaelani, Sven Knoth, and Carina Beering. "POD methodologies for SHM application in civil engineering." e-Journal of Nondestructive Testing 29, no. 7 (2024). http://dx.doi.org/10.58286/29824.

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Structural Health Monitoring (SHM) technologies can significantly enhance safety through continuous monitoring. The successful deployment of real-time SHM systems rely mainly on reliability evaluations. While numerous standards exist for reliability assessments or Probability of Detection (POD) of NDT techniques, there are no specific standards guiding reliability procedures for SHM data. Consequently, NDT POD methods are often applied to SHM data, despite the time and statistically dependent nature of SHM data. Especially in the field of civil engineering, there is the need for a SHM specific
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14

Falcetelli, Francesco, Nan Yue, Raffaella Di Sante, and Dimitrios Zarouchas. "Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring." Structural Health Monitoring, December 27, 2021, 147592172110607. http://dx.doi.org/10.1177/14759217211060780.

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The successful implementation of Structural Health Monitoring (SHM) systems is confined to the capability of evaluating their performance, reliability, and durability. Although there are many SHM techniques capable of detecting, locating and quantifying damage in several types of structures, their certification process is still limited. Despite the effort of academia and industry in defining methodologies for the performance assessment of such systems in recent years, many challenges remain to be solved. Methodologies used in Non-Destructive Evaluation (NDE) have been taken as a starting point
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15

Shafiee, Mahmoud, Francesco Ciampa, and Ebitimitula Etebu. "Robustness of Structural Health Monitoring Systems for Offshore Energy Structures based on Damage Characteristics." e-Journal of Nondestructive Testing 29, no. 7 (2024). http://dx.doi.org/10.58286/29691.

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Offshore energy structures such as fixed/floating wind turbines, tidal turbines and wave energy converters are exposed to loads coming from different sources. Recent advances in SHM offer many unique opportunities to assess the structural integrity of offshore energy infrastructure. The process of SHM generally involves the use of a system of sensors mounted on a structure; the processing of signals received from the sensors to attain damage sensitive features; and the detection of damage in the structure. Over the past decades, most of the research in SHM has been focused on improving and dev
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16

Yilmaz, Bengisu, Arnaud Recoquillay, Bastien Chapuis, and Pierre Calmon. "A model assisted probability of detection for guided wave SHM systems: comparative study on recent statistical developments." e-Journal of Nondestructive Testing 29, no. 7 (2024). http://dx.doi.org/10.58286/29839.

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Despite the potential benefits, industrial implementation of guided wave monitoring systems remains limited today. One of the reason behind this is the lack of consolidated reliability assessment techniques. Recent works clearly illustrated that the classical statistical methodology adopted from nondestructive evaluation to estimate POD is not directly applicable to structural health monitoring (SHM): the hypothesis of independence does not hold for the data obtained from permanently attached sensors and growing defects. The experimental determination of POD for SHM systems requires extensive
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17

Xie, Pu, Susheel Yadav, Amrita Kumar, Jeong-Beom Ihn, and Fu-Kuo Chang. "Quantification of Lamb Wave-based SHM technique through Ground Test under simulated flight environment for commercial airplane." e-Journal of Nondestructive Testing 29, no. 7 (2024). http://dx.doi.org/10.58286/30486.

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This research introduces an advanced Structural Health Monitoring (SHM) methodology for in-service aircraft, with a specific focus on a case study involving 737NG Aft Pressure Bulkhead (APB) coupons. Aimed at achieving FAA first targeted application for FAA certification, the study leverages SMART layer technology to construct a sensor network, facilitating real-time damage assessment through Damage Index (DI) analysis for precise crack detection and localization. The core of our approach involves the utilization of DI values, obtained from the sensor data, to assess crack progression and pinp
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18

Cawley, Peter. "A Development Strategy for Structural Health Monitoring Applications." Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 4, no. 4 (2021). http://dx.doi.org/10.1115/1.4051974.

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Abstract Permanently installed structural health monitoring (SHM) systems are now a viable alternative to traditional periodic inspection (nondestructive testing (NDT)). However, their industrial use is limited, and this article reviews the steps required in developing practical SHM systems. The transducers used in SHM are fixed in location, whereas in NDT, they are generally scanned. The aim is to reach similar performance with high temporal frequency, low spatial frequency SHM data to that achievable with conventional high spatial frequency, and low temporal frequency NDT inspections. It is
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19

Güemes, Alfredo, Antonio Fernandez-Lopez, Angel Renato Pozo, and Julian Sierra-Perez. "Structural Health Monitoring for Advanced Composite Structures: A Review." January 27, 2020. https://doi.org/10.3390/jcs4010013.

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Condition-based maintenance refers to the installation of permanent sensors on a structure/system. By means of early fault detection, severe damage can be avoided, allowing efficient timing of maintenance works and avoiding unnecessary inspections at the same time. These are the goals for structural health monitoring (SHM). The changes caused by incipient damage on raw data collected by sensors are quite small, and are usually contaminated by noise and varying environmental factors, so the algorithms used to extract information from sensor data need to focus on sensitive damage features. The d
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20

Xu, Panpan, Robin Jones, Georgios Sarris, and Peter Huthwaite. "Efficient generation of realistic guided wave signals for reliability estimation." Structural Health Monitoring, January 6, 2025. https://doi.org/10.1177/14759217241302469.

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Across nondestructive testing and structural health monitoring (SHM), accurate knowledge of the systems’ reliability for detecting defects, such as probability of detection (POD) analysis is essential to enabling widespread adoption. Traditionally, this relies on access to extensive experimental data to cover all critical areas of the parametric space, which becomes expensive, and heavily undermines the benefit such systems bring. In response to these challenges, reliability estimation based on numerical simulation emerges as a practical solution, offering enhanced efficiency and cost-effectiv
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21

Sharma, Sanjay, Olivier Mesnil, Arnaud Recoquillay, and Bastien Chapuis. "A Hybrid Actuator Model for Efficient Guided Wave based Structural Health Monitoring Simulations." Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, May 20, 2024, 1–29. http://dx.doi.org/10.1115/1.4065549.

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Abstract Simulation has been recognized as a promising option to reduce the time and costs associated with determining Probability of Detection (POD) curves to demonstrate the performance of Guided Wave based Structural Health Monitoring (GW-SHM) systems. Time domain transient spectral finite element schemes have been used for large GW-SHM simulation campaigns, but the most common piezoelectric transducer model used for actuation, the pin force model, has limitations in terms of its range of validity. This is because the excitation frequency for the pin force model has only been validated far
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22

Mendler, Alexander, and Michael Döhler. "Predictive Probability of Localization Curves (P-POL) for Structures with Changing Environmental Conditions." e-Journal of Nondestructive Testing 29, no. 7 (2024). http://dx.doi.org/10.58286/29648.

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One of the fundamental challenges in structural health monitoring (SHM) is the lack of data from the damaged state, which is required to verify the automated damage detection algorithms. In this paper, a recently developed approach is presented that allows one to assess the detectability of damages before they occur. The approach is based on so-called probability of detection curves that can be evaluated based on data and a model from the undamaged structure, in a “predictive” way. The method is based on four fundamental assumptions: the damage-sensitive features can be approximated through a
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23

Ameyaw, Daniel Adofo, Qi Deng, and Dirk Söffker. "Probability of Detection (POD)-based Metric for Evaluation of Classifiers Used in Driving Behavior Prediction." Annual Conference of the PHM Society 11, no. 1 (2019). http://dx.doi.org/10.36001/phmconf.2019.v11i1.774.

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Classifiers are functional tools/algorithms that implement classifications and are widely used in science and technology for state of health estimation, diagnosis systems, and situation/intention recognition of human operators. Certification of these classifiers plays a crucial role in their selection for a specific task. Current certification approaches utilize the Receiver Operator Curve (ROC) as a standard tool that provides graphically the performance of classifiers. Beside the ratio of Detection Rate and False Alarm Rate (combined as ROC), other properties related to process parameters are not c
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