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Journal articles on the topic 'Damage level monitoring'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Zulkarnaen, Rizmoon Nurul, Fitri Fatma Wardani, Prima Wahyu Kusuma Hutabarat, Irfan Martiansyah, and Muhammad Rifqi Hariri. "Tree Health Assessment of Lauraceae Collections in Bogor Botanic Gardens using Forest Health Monitoring Method." Jurnal Sylva Lestari 9, no. 3 (2021): 411–23. http://dx.doi.org/10.23960/jsl.v9i3.527.

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Bogor Botanic Gardens (BBG) is an ex-situ plant conservation area with thousands of plant collections. The trees of the Lauraceae in BBG experienced the highest number of deaths among other families. However most of them were categorized as young planting years (0-15 years). A tree health monitoring in the Lauraceae needs to be conducted to provide an overview, trend, and value of the level of damage. Forest Health Monitoring (FHM) method was carried out on two plots consisting of 149 trees. FHM can identify the types and levels of damage through monitoring and recording a series of tree damag

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Gagić-Serdar, Renata, Tomislav Stefanović, Ilija Đorđević, Goran Češljar, Miroslava Marković, and Natalija Momirović. "Forest ecosystems vitality monitoring (ICP forests, Level I) with special emphasis to the affected part of the sample trees in the Republic of Serbia." Sustainable Forestry: Collection, no. 81-82 (2020): 81–92. http://dx.doi.org/10.5937/sustfor2081081g.

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Trees condition on the sample plots of the ICP forests, Level I, is especially considered and monitored by the typically damaged and affected part of the tree on which it occurs. Due to the need to enter unique data for the measured parameters (visible damages), their codes are assigned for each damage. These are the results from Sample plots, Level I, based on the ICP methodology. The results are entered into a single database for all participating countries. Infested assimilation organs - leaves or needles are direct indicators of the condition of the trees. The most common damage to leaves

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Ahmed, H. Eldeeb, Mohamed Abdelsalam Ahmed, M. Shehata Ahmed, Sayed Kamel Ali Hesham, and Fouad Sara. "Health monitoring of historic buildings using machine learning in real-time internet of things (IoT)." Health monitoring of historic buildings using machine learning in real-time internet of things (IoT) 32, no. 2 (2023): 725–33. https://doi.org/10.11591/ijeecs.v32.i2.pp725-733.

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In this paper, structural health monitoring (SHM) is used to detect the damage level for the historic building. The damaged level is defined based on the support vector machine (SVM) algorithm to extract the damage feature. Physical checks allow us to detect any damage or structural degeneration. Supervised training machine learning (ML) is used as a tool to examine accelerometer data to ascertain the condition of structures following an occurrence. The three training models, the SVM, the random forest linear classification, and the k-nearest neighbor (KNN) model are tested and compared to cla

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Eldeib, Ahmed H., Ahmed Mohamed Abdelsalam, Ahmed M. Shehata, Hesham Sayed Kamel Ali, and Sara Fouad. "Health monitoring of historic buildings using machine learning in real-time internet of things." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 2 (2023): 725. http://dx.doi.org/10.11591/ijeecs.v32.i2.pp725-733.

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<span>In this paper, structural health monitoring (SHM) is used to detect the damage level for the historic building. The damaged level is defined based on the support vector machine (SVM) algorithm to extract the damage feature. Physical checks allow us to detect any damage or structural degeneration. Supervised training machine learning (ML) is used as a tool to examine accelerometer data to ascertain the condition of structures following an occurrence. The three training models, the SVM, the random forest linear classification, and the k-nearest neighbor (KNN) model are tested and com

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Reni, Suryanita, Mardiyono, and Adnan Azlan. "Intelligent Bridge Seismic Monitoring System Based on Neuro Genetic Hybrid." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 4 (2017): 1830–40. https://doi.org/10.12928/TELKOMNIKA.v15i4.6006.

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The natural disaster and design mistake can damage the bridge structure. The damage caused a severe safety problem to human.The study aims to develop the intelligent system for bridge health monitoring due to earthquake load. The Genetic Algorithm method in Neuro-Genetic hybrid has applied to optimize the acceptable Neural Network weight.The acceleration, displacement and time history of the bridge structural responses are used as the input, while the output is the damage level of the bridge. The system displays the alert warning of decks based on result prediction of Neural Network analysis.

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Gocentas, Audrius, and Anatoli Landõr. "Stress and muscle damage monitoring in high-level basketball players." Papers on Anthropology 21 (December 1, 2012): 72. http://dx.doi.org/10.12697/poa.2012.21.06.

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Mosalam, Khalid, Sifat Muin, and Yuqing Gao. "NEW DIRECTIONS IN STRUCTURAL HEALTH MONITORING." NED University Journal of Research 2, Special Issue on First SACEE'19 (2019): 77–112. http://dx.doi.org/10.35453/nedjr-stmech-2019-0006.

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This paper presents two on-going efforts of the Pacific Earthquake Engineering Research (PEER) center in the area of structural health monitoring. The first is data-driven damage assessment, which focuses on using data from instrumented buildings to compute the values of damage features. Using machine learning algorithms, these damage features are used for rapid identification of the level and location of damage after earthquakes. One of the damage features identified to be highly efficient is the cumulative absolute velocity. The second is vision-based automated damage identification and asse

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Park, Seung Hee, Ju Won Kim, Min Jun Nam, and Jong Jae Lee. "Magnetic Flux Leakage Sensing-Based Steel Cable NDE Technique Incorporated on a Cable Climbing Robot for Bridge Structures." Advances in Science and Technology 83 (September 2012): 217–22. http://dx.doi.org/10.4028/www.scientific.net/ast.83.217.

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In this study, an automated cable monitoring system using a NDE technique and a cable climbing robot is proposed. MFL (Magnetic Flux Leakage- based inspection system was applied to monitor the condition of cables. This inspection system measures magnetic flux to detect the local faults (LF) of steel cable. To verify the feasibility of the proposed damage detection technique, an 8-channel MFL sensor head prototype was designed and fabricated. A steel cable bunch specimen with several types of damage was fabricated and scanned by the MFL sensor head to measure the magnetic flux density of the sp

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Abimanyu, Bondan, Rahmat Safe’i, and Wahyu Hidayat. "Application of Forest Health Monitoring Method in Assessing Tree Damage in Metro Urban Forests." Jurnal Sylva Lestari 7, no. 3 (2019): 289. http://dx.doi.org/10.23960/jsl37289-298.

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The assessment of tree condition is very important to ensure visitor safety and to maintain the sustainability of Metro Urban Forest. However, data and information on the condition of trees in six locations of Metro Urban Forest are not yet available. Therefore, this study was conducted to assess tree damage in each Metro Urban Forest. Evaluation of tree damage such as location, type, and level of tree damage was conducted for each tree in accordance with the damage criteria of the Forest Health Monitoring method. Data were then analyzed by calculating the damage index and tree damage level in

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Choy, F. K., J. Zhou, M. J. Braun, and L. Wang. "Vibration Monitoring and Damage Quantification of Faulty Ball Bearings." Journal of Tribology 127, no. 4 (2005): 776–83. http://dx.doi.org/10.1115/1.2033899.

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More often than not, the rolling element bearings in rotating machinery are the mechanical components that are first prone to premature failure. Early warning of an impending bearing failure is vital to the safety and reliability of high-speed turbomachinery. Presently, vibration monitoring is one of the most applied procedures in on-line damage and failure monitoring of rolling element bearings. This paper presents results from an experimental rotor-bearing test rig with quantified damage induced in the supporting rolling element bearings. Both good and damaged radial and tapered ball bearing

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Kim, Byungmo, Cheonhong Min, Hyungwoo Kim, et al. "Structural Health Monitoring with Sensor Data and Cosine Similarity for Multi-Damages." Sensors 19, no. 14 (2019): 3047. http://dx.doi.org/10.3390/s19143047.

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There is a large risk of damage, triggered by harsh ocean environments, associated with offshore structures, so structural health monitoring plays an important role in preventing the occurrence of critical and global structural failure from such damage. However, obstacles, such as applicability in the field and increasing calculation costs with increasing structural complexity, remain for real-time structure monitoring offshore. Therefore, this study proposes the comparison of cosine similarity with sensor data to overcome such challenges. As the comparison target, this method uses the rate of

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Chacon, Pedro J., Jong-Yoon Park, Aly M. Aly, George Z. Voyiadjis, and Jin-Woo Choi. "A Moving Vehicle Height Monitoring Sensor System for Overheight Impact Avoidance." Infrastructures 6, no. 6 (2021): 91. http://dx.doi.org/10.3390/infrastructures6060091.

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Bridges, overpasses, and road construction sites with reduced vertical clearance lead to collision threats from crossing vehicles that exceed their clearance due to their inherent height or improper loading. These accidents can pose slight or severe physical damage to property and, primarily, damage to involved individuals in these vehicles or their affected components (i.e., collateral damage around and above an overpass or bridge). Furthermore, the resulting consequences may also incur fatalities, injuries, structural damages, and monetary damages. It has severely impacted the repair and/or

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Sarkar, Mr Subhankar. "Smart River Water Level Monitoring System Using IoT." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 1423–35. https://doi.org/10.22214/ijraset.2024.66047.

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Abstract: India is a riverine country; Riverine civilization has developed in India since ancient times. Our India has grown crops around this river. Just as the river has made our country rich in crops, the raging nature of the river has repeatedly brought our country to the brink of destruction. Almost every year, erosion along with floods cause financial and other losses in India. Due to climate change and the damming of rivers every year, river water dries up during summers, and floods during monsoons can cause sudden rises in water and cause loss of life and other damage to humans and oth

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Muslih, A. M., N. E. Hidayat, T. Arlita, A. Farida, I. Dewiyanti, and A. Sugara. "Mapping the tree damage index: A case study on the green lane in the urban area of Banda Aceh City." IOP Conference Series: Earth and Environmental Science 1352, no. 1 (2024): 012046. http://dx.doi.org/10.1088/1755-1315/1352/1/012046.

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Abstract Climate change mitigation efforts implemented by the Government of Banda Aceh by building green lanes with trees. The level of the tree’s ability to absorb carbon is highly correlated with the vitality of the tree itself. The health status of a tree can be known by the tree’s damage level. The aim of the research is to provide information on how much damage to trees and the degree of severity. The research was carried out on green lanes on urban streets in Banda Aceh City as many as 8 lines. The object of research is vegetation with the tree growth phase category, and tree damage inde

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Hayat, Khizar, Saqib Mehboob, Qadir Bux alias Imran Latif Qureshi, et al. "Statistical Subspace-Based Damage Detection and Jerk Energy Acceleration for Robust Structural Health Monitoring." Buildings 13, no. 7 (2023): 1625. http://dx.doi.org/10.3390/buildings13071625.

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This paper introduces a multistep damage identification process that is both straightforward and useful for identifying damage in buildings with regular plan geometries. The algorithm proposed in this study combines the utilization of a multi-damage sensitivity feature and MATLAB programming, providing a comprehensive approach for the structural health monitoring (SHM) of different structures through vibration analysis. The system utilizes accelerometers attached to the structure to capture data, which is then subjected to a classical statistical subspace-based damage detection test. This test

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Feldman, Kateryna, and Dhaval Pau. "IMPORTANCE OF PHENYTOIN LEVEL MONITORING TO AVOID TOXICITY AND PERMANENT NEUROLOGICAL DAMAGE." Chest 158, no. 4 (2020): A865. http://dx.doi.org/10.1016/j.chest.2020.08.803.

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Wang, Jingxu, Qinan Lin, Shengwang Meng, Huaguo Huang, and Yangyang Liu. "Individual Tree-Level Monitoring of Pest Infestation Combining Airborne Thermal Imagery and Light Detection and Ranging." Forests 15, no. 1 (2024): 112. http://dx.doi.org/10.3390/f15010112.

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The infestation of pine shoot beetles (Tomicus spp.) in the forests of Southwestern China has inflicted serious ecological damages to the environment, causing significant economic losses. Therefore, accurate and practical approaches to detect pest infestation have become an urgent necessity to mitigate these harmful consequences. In this study, we explored the efficiency of thermal infrared (TIR) technology in capturing changes in canopy surface temperature (CST) and monitoring forest health at the scale of individual tree crowns. We combined data collected from TIR imagery and light detection

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Brusa, Eugenio, Fabio Bruzzone, Cristiana Delprete, Luigi Di Maggio, and Carlo Rosso. "Proposal of a Technique for Correlating Defect Dimensions to Vibration Amplitude in Bearing Monitoring." PHM Society European Conference 5, no. 1 (2020): 14. http://dx.doi.org/10.36001/phme.2020.v5i1.1236.

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The capability of early stage detection of a defect is gaining more and more importance because it can help the maintenance process, the cost reduction and the reliability of the systems. The increment of vibration amplitude is a well-known method for evaluating the damage of a component, but it is sometimes difficult to understand the exact level of damage. In other words, the amplitude of vibration cannot be directly connected to the dimension of the defect. In the present paper, based on a non-Hertzian contact algorithm, the spectrum of the pressure distribution in the contact s

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Kizha, Anil Raj, Evan Nahor, Noah Coogen, Libin T. Louis, and Alex K. George. "Residual Stand Damage under Different Harvesting Methods and Mitigation Strategies." Sustainability 13, no. 14 (2021): 7641. http://dx.doi.org/10.3390/su13147641.

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A major component of sustainable forest management are the stands left behind after the logging operation. Large mechanized harvesting equipment involved in current forest management can inflict damage on residual trees; and can pose a risk of mortality from diseases, natural calamities, and/or degrade future economic value. The primary objective of this study was to evaluate the residual stand damage under different harvesting methods and silvicultural prescriptions i.e., crop tree release (CTR), diameter limit cut (DLC), and overstory removal (OSR). The second objective was to evaluate the i

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Gao, Yang, Zhen Qi Hu, Jing Li, Wu Xiao, Ji Yong Zeng, and Zhi Dong Jiang. "The Index System and Methods of Monitoring Damaged Cultivated Land Quality in Mining Area Based on Agricultural Land Classification." Applied Mechanics and Materials 409-410 (September 2013): 56–63. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.56.

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Damaged cultivated land reclamation in mining area is one of the important ways to remediate the cultivated land in China. In the study, Index system of monitoring damaged cultivated land quality in mining area was established on the basis of agricultural land classification indexes. Collapse depth, excavation depth, cover occupation height, density of fractures, and the additional slope are added to reflect the characterization of micro topographic. Methods which are used to monitoring damaged cultivated land quality are summarized according to the condition of mining area. The connection bet

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Ratnika, Lasma, Liga Gaile, and Nikolai Ivanovich Vatin. "Impact of Groundwater Level Change on Natural Frequencies of RC Buildings." Buildings 11, no. 7 (2021): 265. http://dx.doi.org/10.3390/buildings11070265.

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Structural health monitoring (SHM) provides an opportunity to assess and predict changes in the technical condition of structures during the operation of a building. Structural damage, as well as several operational and environmental conditions, causes changes in modal parameters. Temperature is the most popular environmental condition which is used for research. However, to the authors’ knowledge, this is the first investigation that highlights the effect of groundwater level change on the natural frequencies of the buildings and the impact of possible damage detection features. Groundwater l

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Tabrizian, Seyedreza Kashef, Seppe Terryn, Joost Brancart, Guy Van Assche, and Bram Vanderborght. "Mechanisms boosting material embodied intelligence to realize self-healing soft robots." IOP Conference Series: Materials Science and Engineering 1292, no. 1 (2023): 012006. http://dx.doi.org/10.1088/1757-899x/1292/1/012006.

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Abstract The recent introduction of self-healing soft materials in robotics is a major step towards sustainable next generation robots. By manufacturing soft robots out of these smart materials, we integrate a self-healing ability and increase the physical intelligence of these systems. However, the embodied intelligence in the material level needs to be augmented by incorporating assistive mechanisms in the system level with minimized control, enabling healing of damage in different sizes and in diverse working conditions. These assistive mechanisms can provide damage detection, damage closur

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Garner, Amy, Moneeb Genedy, R. Tarefder, and Mahmoud Reda Taha. "Monitoring Fatigue Damage in PC Using Carbon Nanotubes." Advanced Materials Research 1129 (November 2015): 94–101. http://dx.doi.org/10.4028/www.scientific.net/amr.1129.94.

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Polymer concrete (PC) overlays are typically used in infrastructure applications, specifically bridges and parking structures, to provide durable protection to the structural system. However, PC suffers from cracking and crack propagation during its service life mostly due to fatigue. Fatigue cracking of PC results in limiting the service life of PC considerably. Monitoring of fatigue damage in PC can help extend PC service life.In this paper, we demonstrate the possible use of carbon nanotubes to monitor damage initiation and propagation in PC under fatigue loading. PC prisms were produced us

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Ziegler, Lisa, Ursula Smolka, Nicolai Cosack, and Michael Muskulus. "Brief communication: Structural monitoring for lifetime extension of offshore wind monopiles: can strain measurements at one level tell us everything?" Wind Energy Science 2, no. 2 (2017): 469–76. http://dx.doi.org/10.5194/wes-2-469-2017.

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Abstract. Operators need accurate knowledge on structural reserves to decide about lifetime extension of offshore wind turbines. Load monitoring enables us to directly compare design loads with real loading histories of the support structure in order to calculate its remaining useful lifetime. Monitoring of every hot spot is technically and financially not feasible. This paper presents a novel idea for load monitoring of monopiles. It requires strain measurements at only one level convenient for sensor installation, such as tower bottom. Measurements are converted into damage equivalent loads

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Cosoli, Gloria, Milena Martarelli, Alessandra Mobili, Francesca Tittarelli, and Gian Marco Revel. "Damage Identification in Cement-Based Structures: A Method Based on Modal Curvatures and Continuous Wavelet Transform." Sensors 23, no. 22 (2023): 9292. http://dx.doi.org/10.3390/s23229292.

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Modal analysis is an effective tool in the context of Structural Health Monitoring (SHM) since the dynamic characteristics of cement-based structures reflect the structural health status of the material itself. The authors consider increasing level load tests on concrete beams and propose a methodology for damage identification relying on the computation of modal curvatures combined with continuous wavelet transform (CWT) to highlight damage-related changes. Unlike most literature studies, in the present work, no numerical models of the undamaged structure were exploited. Moreover, the authors

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Mousavi, Seyed Ahmad, Kaveh Ahangari, and Kamran Goshtasbi. "IMPACT OF THE LAYERING OF BLAST-INDUCED DAMAGE FACTORS IN THE HOEK–BROWN FAILURE CRITERION ON THE BENCH DAMAGE MONITORING OF MINES." Rudarsko-geološko-naftni zbornik 38, no. 1 (2023): 93–104. http://dx.doi.org/10.17794/rgn.2023.1.9.

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The process of creating a slope in a rock mass using the excavation and blasting methods consistently leads to stress release in the rock mass, resulting in a certain level of fracture and disturbance. Blast-induced vibrations can also influence the quality of the rock mass remaining after the blasting, as well as the stability and bench damage monitoring (BDM) of mines. A damage factor (D) is included in the Hoek–Brown failure criterion to compute the disturbance of a rock mass in creating a slope. Choosing the value and thickness of the blast zone for the Hoek–Brown criterion is crucial in t

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Saad, Issa Sarsam. "Monitoring the Durability Issues of Asphalt Concrete." Journal of Building construction 5, no. 1 (2023): 31–39. https://doi.org/10.5281/zenodo.7816418.

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<em>The asphalt cement binder is prone to environmental issues such as ageing and moisture damage. This has a great significance in the performance of asphalt concrete pavement which may be more susceptible to failure throughout its fatigue life. In the present assessment, roller compacted slab samples have been prepared in the laboratory at optimum binder content. Additional samples have been prepared with a binder of  0.5 % below and above the optimum. Asphalt concrete beam specimens were obtained from the slab samples with the aid of a diamond saw. Asphalt concrete beam specimens were

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Nicodemo, Gianfranco, Dario Peduto, and Settimio Ferlisi. "Building damage assessment and settlement monitoring in subsidence-affected urban areas: case study in the Netherlands." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 651–56. http://dx.doi.org/10.5194/piahs-382-651-2020.

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Abstract. Buildings in subsiding areas may suffer from settlements causing damages of different severity levels with high impact in terms of yearly economic losses. In these contexts, a systematic damage assessment jointly with continuous monitoring of relevant parameters (e.g. settlements exhibited by points located on the roof) can be extremely useful to control the building behaviour and develop forecasting models. In this regard, the paper presents the results of an integrated analysis carried out on a subsidence-affected urban area in the Netherlands where the availability of multi-tempor

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Erduran, Emrah, Frida Kristin Ulla, and Lone Næss. "A Framework for Long-Term Vibration-Based Monitoring of Bridges." Sensors 21, no. 14 (2021): 4739. http://dx.doi.org/10.3390/s21144739.

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A new framework for long-term monitoring of bridges is proposed in order to negate (i) the impact of measurement uncertainties on damage detection in vibration-based structural health monitoring and (ii) the low sensitivity of damage indicators to low levels of damage. The framework is developed using three vibration-based damage indicators that have an intuitive physical correlation with damage: modal curvature, modal strain energy and modal flexibility. The article first quantifies the efficacy of these damage indicators when based on two observations, one from the undamaged state and one fr

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Zhao, Shaoyu, Shuli Fan, Jie Yang, and Sritawat Kitipornchai. "A spherical smart aggregate sensor based electro-mechanical impedance method for quantitative damage evaluation of concrete." Structural Health Monitoring 19, no. 5 (2019): 1560–76. http://dx.doi.org/10.1177/1475921719888963.

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In this study, the concrete damage induced by compression is evaluated quantitatively using spherical smart aggregate sensor based on electro-mechanical impedance method. The sensitivity of the spherical smart aggregate sensor embedded in concrete cubes is investigated by comparing the electrical signals recorded during the compressive process with those of the smart aggregate sensor embedded in concrete cubes. Furthermore, the finite element model of concrete cube with an embedded spherical smart aggregate sensor is developed to simulate the concrete compressive tests. The concrete damaged pl

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Bui-Tien, Thanh, Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, and Hung Tran-Viet. "Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network." Frattura ed Integrità Strutturale 16, no. 59 (2021): 461–70. http://dx.doi.org/10.3221/igf-esis.59.30.

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The process of damage identification in Structural Health Monitoring (SHM) gives us a lot of practical information about the current status of the inspected structure. The target of the process is to detect damage status by processing data collected from sensors, followed by identifying the difference between the damaged and the undamaged states. Different machine learning techniques have been applied to attempt to extract features or knowledge from vibration data, however, they need to learn prior knowledge about the factors affecting the structure. In this paper, a novel method of structural

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Ye, Hailin, Lu Liu, and Wenhao Qi. "Research on Anti-Noise Ability of Offshore Platform Health Monitoring System Based on Strain Mode Structural Damage Identification." Journal of Physics: Conference Series 2185, no. 1 (2022): 012067. http://dx.doi.org/10.1088/1742-6596/2185/1/012067.

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Abstract Strain modal structural damage identification is widely used in offshore platform health monitoring. However, due to the limitation of structural testing technology, the complex marine environment around the offshore platform structure is superimposed, such as wind, wave, tidal current and other dynamic environments. In the actual test, many factors interfere with modal identification and damage detection, which brings a certain amount of errors to the identification of modal parameters of offshore platform structure, Thus, the accuracy of loss identification of offshore platform stru

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Iwasaki, Atsushi, Akira Todoroki, Satoshi Izumi, and Shinsuke Sakai. "Diagnostic Method for Delamination Monitoring of CFRP Plate Using Kriging Interpolation Method." Key Engineering Materials 353-358 (September 2007): 1422–26. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.1422.

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The present paper proposes a new diagnostic tool for the structural health monitoring that employs a Kriging Interpolation. Structural health monitoring is a noticeable technology for aged civil structures. Most of the structural health monitoring systems adopts parametric method based on modeling or non-parametric method such as artificial neural networks or response surfaces. The conventional methods require FEM modeling of structure or a regression model. This modeling needs judgment of human, and it requires much costs. The present method does not require the process of modeling, in order

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Rangel-Magdaleno, Jose, Hayde Peregrina-Barreto, Juan Ramirez-Cortes, Roberto Morales-Caporal, and Israel Cruz-Vega. "Vibration Analysis of Partially Damaged Rotor Bar in Induction Motor under Different Load Condition Using DWT." Shock and Vibration 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/3530464.

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The relevance of the development of monitoring systems for rotating machines is not only the ability to detect failures but also how early these failures can be detected. The purpose of this paper is to present an experimental study of partially damaged rotor bar in induction motor under different load conditions based on discrete wavelet transform analysis. The approach is based on the extraction of features from vibration signals at different level of damage and three mechanical load conditions. The proposed analysis is reliable for tracking the damage in rotor bar. The paper presents an ana

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Zhang, Haobo, Fangzhu Du, and Haoran Jin. "Monitoring and Evaluating the Damage to Shear Connectors in Steel–Concrete Composite Beams by Curvature-Based Indicators Through Vibration Tests." Applied Sciences 15, no. 13 (2025): 7313. https://doi.org/10.3390/app15137313.

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In order to assess the workability of shearing connectors of steel–concrete composite beams (SCCBs), this manuscript proposed a novel solid-slipping nonlinear finite element (FE) model, which is independent of stiffness-slip function for simply supported SCCBs. The modal curvature difference and the modal flexibility difference curvature were prompted, which are able to evaluate both sole-damage and multi-damage. It was concluded that the proposed indicators can locate the damaged shear studs and quantify the damage degree correctly, having a maximum error of less than 1%. Robust analysis prov

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Silionis, Nicholas E., and Konstantinos N. Anyfantis. "Model-Based Structural Health Monitoring of Box Girders." MATEC Web of Conferences 349 (2021): 03012. http://dx.doi.org/10.1051/matecconf/202134903012.

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In the recent years, interest has been expressed towards incorporating Structural Health Monitoring (SHM) systems to ship hulls in order to transition from preventive to predictive maintenance procedures. In this work, an initial approach is undertaken to investigate the capabilities of a model-based method treating damage identification as an optimization problem solved using a genetic algorithm. An idealization of the hull structure is considered based on hull girder theory that allows for lab scale experimental testing. Specifically, a box girder is considered with a circular discontinuity

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Stagi, Lorenzo, Lorenzo Sclafani, Eleonora M. Tronci, et al. "Enhancing the Damage Detection and Classification of Unknown Classes with a Hybrid Supervised–Unsupervised Approach." Infrastructures 9, no. 3 (2024): 40. http://dx.doi.org/10.3390/infrastructures9030040.

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Most damage-assessment strategies for dynamic systems only distinguish between undamaged and damaged conditions without recognizing the level or type of damage or considering unseen conditions. This paper proposes a novel framework for structural health monitoring (SHM) that combines supervised and unsupervised learning techniques to assess damage using a system’s structural response (e.g., the acceleration response of big infrastructures). The objective is to enhance the benefits of a supervised learning framework while addressing the challenges of working in an SHM context. The proposed fram

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Xu, Chao, and Dong Wang. "An Evaluation of Damage Features Extraction from Attractors in Structural Health Monitoring." Applied Mechanics and Materials 105-107 (September 2011): 738–41. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.738.

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Structural health monitoring provides accurate information about structure’s safety and integrity. The vibration-based structural health monitoring involves extracting a feature which robustly quantifies damage induced change to the structure. Recent work has focused on damage features extracted from the state space attractor of the structural response. Some of these features involve prediction error and local variance ratio. In the present paper, a five degree of freedom spring damper system forced by a Lorenz excitation is used to evaluate these two typical damage features. Their ability of

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Ye, Yichao, Limin Peng, Yuexiang Lin, Jianwen Liu, Mingfeng Lei, and Ruizhen Fei. "EMI Technique for Monitoring the Damage Evolution of Initial Damaged Tunnel Invert Concrete Subjected to High Traffic Cyclic Loading." Advances in Civil Engineering 2020 (October 28, 2020): 1–18. http://dx.doi.org/10.1155/2020/7459895.

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The electromechanical impedance (EMI) technique based on the PZT transducer, in the past twenty years of research progress, has demonstrated its potential for cost-effective and high damage-sensitive structural health monitoring. This paper presents an application of EMI technique for damage evolution investigation of initial damaged tunnel invert concrete under high traffic cyclic loading. In the tests, six different levels of initial damage inside the specimens, as the influencing factor, were firstly created by applying a certain number of impacts with a free-falling iron ball. Then, these

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Velasco, D., L. Guzman, B. Puruncajas, C. Tutiven, and Y. Vidal. "Wind turbine blade damage detection using data-driven techniques." Renewable Energy and Power Quality Journal 21, no. 1 (2023): 462–66. http://dx.doi.org/10.24084/repqj21.357.

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This work presents a simple damage detection strategy for wind turbine blades. In particular, a vibration analysis-based damage detection methodology is proposed that requires only healthy data and detects damage in different locations of the blade. The stated structural health monitoring strategy is based on the extraction of characteristics using statistical metrics as a technique for the recognition and differentiation of healthy test experiments from damaged test experiments with simulated faults created by added mass. In this manner, several metrics are approached to find those that show

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Yan, Bing Sheng, Bin Wu, Cun Fu He, and Jing Pin Jiao. "Early Fatigue Damage of Magnesium Alloy On-Line Monitoring by Nonlinear Ultrasonic." Advanced Materials Research 139-141 (October 2010): 194–97. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.194.

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This research develops a robust experimental procedure to monitor the evolution of early fatigue damage in AZ31 magnesium alloy with the acoustic nonlinearity parameter , and demons- trats its reliability by measuring the linear relationship between amplitudes of the second-harmonic waves and fundamental waves squared. Using this system, of two sets of specimens with different stress level is measured. The experimental results show that there is a significant increase in linked to fatigue degree in the early stages of fatigue life and reaches the maximum about 55%of fatigue life, when the stre

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Martin, A., C. Bukethal, and K. H. Ryden. "Fast Wafer Level Reliability Monitoring: Quantification of Plasma-Induced Damage Detected on Productive Hardware." IEEE Transactions on Device and Materials Reliability 9, no. 2 (2009): 135–44. http://dx.doi.org/10.1109/tdmr.2009.2020601.

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Watanabe, H., J. Komori, K. Higashitani, M. Sekine, and H. Koyama. "A wafer level monitoring method for plasma-charging damage using antenna PMOSFET test structure." IEEE Transactions on Semiconductor Manufacturing 10, no. 2 (1997): 228–32. http://dx.doi.org/10.1109/66.572072.

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Beckmeier, D., and A. Martin. "Plasma process induced damage detection by fast wafer level reliability monitoring for automotive applications." Microelectronics Reliability 64 (September 2016): 189–93. http://dx.doi.org/10.1016/j.microrel.2016.07.129.

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Noori Hoshyar, Azadeh, Bijan Samali, Ranjith Liyanapathirana, and Saber Taghavipour. "Analysis of failure in concrete and reinforced-concrete beams for the smart aggregate–based monitoring system." Structural Health Monitoring 19, no. 2 (2019): 463–80. http://dx.doi.org/10.1177/1475921719854151.

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Monitoring of structures and defining the severity of damages that occur under loading are essential in practical applications of civil infrastructure. In this article, we analyze failure using a smart aggregate sensor–based approach. The signals captured by smart aggregate sensors mounted on the structure under loading are de-noised using wavelet de-noising technique to prevent misdirection of the event interpretation of what is happening in the material. The performance of different mother wavelets on the de-noising process was investigated and analyzed. The objective is to identify the opti

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Nishanth, R., K. Lingadurai, V. Malolan, Gowrishankar Wuriti, and M. R. M. Babu. "Structural Health Monitoring of Thin Aluminum Plate Using Acoustic Sensors." Advanced Materials Research 622-623 (December 2012): 1389–95. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1389.

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SHM is defined as “an emerging technology that can be defined as continuous, autonomous, real time, in-service monitoring of the physical condition of a structure by means of embedded or attached sensors with minimum manual intervention” .SHM provides the ability of a system to detect adverse changes within a system’s structure to enhance reliability and reduce maintenance costs. There are different Non-Destructive techniques like acoustic emission, ultrasonic, acousto-ultrasonic, guided ultrasonic waves or Lamb waves which are nowadays investigated for the development of an efficient and user

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Rachmadiyanto, AN, NF Azzahra, E. Sudiana, and S. Wahyuni. "Tree Health Analysis of Old Vatica pauciflora (Korth.) Blume in Bogor Botanical Gardens Using Forest Health Monitoring Method." IOP Conference Series: Earth and Environmental Science 1433, no. 1 (2024): 012012. https://doi.org/10.1088/1755-1315/1433/1/012012.

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Abstract Vatica pauciflora (Korth.) Blume (Dipterocarpaceae), also known as resak rawa, is a vital tree classified as vulnerable by the IUCN Red List of Threatened Species. Resak rawa can be found in the Bogor Botanical Gardens (BBG) for research and tourism purposes. It is essential to analyze the tree’s damage to assess its health and ensure the safety of visitors. The Forest Health Monitoring (FHM) method is used in this study. The study aims to evaluate the health of old V. pauciflora trees (>50 years) in the BBG and investigate the relationship between the tree’s age and health level.

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Sumangala Gejje, Abishek M, Sampath M.P, Sharath P, and Yathish G. "Sewage/Flood Overflow Monitoring and Alerting System." ACS Journal for Science and Engineering 3, S1 (2024): 29–35. http://dx.doi.org/10.34293/acsjse.v3is1.94.

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Flooding is a natural calamity that is becoming increasingly frequent and has a severe impact on people's quality of life. This study highlights the use of IoT and Arduino to develop a flood monitoring system that can track the conditions near a reservoir [1]. The system utilizes compatible sensors such as level, temperature, humidity, and flow, which are accurately measured and displayed on an LCD screen. The data is then transmitted via a Wi-Fi module (ESP8266) to an IoT web application, where it is stored in a private channel. In the event of a flood, the web application alerts the relevant

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Holmannova, Drahomira, Lenka Borska, Ctirad Andrys, et al. "The Impact of Psoriasis and Metabolic Syndrome on the Systemic Inflammation and Oxidative Damage to Nucleic Acids." Journal of Immunology Research 2020 (May 20, 2020): 1–9. http://dx.doi.org/10.1155/2020/7352637.

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Background. Psoriasis is a chronic systemic inflammatory disease associated with a wide range of comorbidities, including metabolic syndrome (MetS). Serum calprotectin, ANGPTL8, and oxidative damage to nucleic acids might be associated with both diseases. The presented study describes the influence of psoriasis and MetS on the serum levels of markers of systemic inflammation (calprotectin and ANGPTL8) and markers of oxidative damage to nucleic acids. The applicability of serum levels of calprotectin and ANGPTL8 for monitoring of the activity of psoriasis (diagnostic markers) is also evaluated.

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Sajedi, Seyedomid, and Xiao Liang. "Trident: A Deep Learning Framework for High-Resolution Bridge Vibration Monitoring." Applied Sciences 12, no. 21 (2022): 10999. http://dx.doi.org/10.3390/app122110999.

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Bridges are the essential components in lifeline transportation systems, and their safe operation is of great importance. Information on structural damage could assist in timely repairs and reduce downtime. With the latest advancements in sensing technology, collecting vibration data from bridges has become more accessible. However, effective vibration processing is still a challenge, given the high dimensionality and massive size of vibration data. Existing studies have shown that machine/deep learning techniques can be valuable tools for this task. However, the learning and computational cap

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