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The assessment of surface acoustic wave sensing for testing fuel dilution of lubricating oils Measurement (IF 5.6) Pub Date : 2024-03-26 Leszek Chybowski, Przemysław Kowalak, Marcin Szczepanek, Przemysław Jóźwiak, Paweł Danisiewicz
This article presents an assessment of the accuracy and repeatability of oil dilution measuring apparatus. The device uses surface acoustic wave sensing (SAW), and the measurement method meets the ASTM D8004 standard. Since the described in the ASTM standard definitions of accuracy and repeatability are not easy to compare with definitions in the ISO standards, a comparative experiment was settled
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A load-sharing dynamic force measuring platform accounting for inertial force and ambient noise Measurement (IF 5.6) Pub Date : 2024-03-26 Chengbo Zhou, Mingyi Xia, Zhenbang Xu
In order to detect on the ground the dynamic disturbance forces produced by the operation of vibration sources in large aerospace equipment, a load-sharing measuring platform is presented that takes into account inertial forces and background noise. The load-sharing column ensures a larger mounting area and higher load capacity in the fundamental structure of the measuring platform. For measurement
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Augmented-Resolution Digital image correlation algorithm for vibration measurements Measurement (IF 5.6) Pub Date : 2024-03-26 Paolo Neri
Digital Image Correlation (DIC) is a widespread technique, and many different implementations were developed in the literature to optimize the algorithm performance. In this paper, a new DIC algorithm is optimized for vibration measurements, where the displacement amplitude drastically decreases with the increase in frequency. Even if high-resolution cameras are used, it is mandatory to use a DIC algorithm
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Beam-steering-effect immune laser absorption spectrum extraction for precise and robust temperature measurement Measurement (IF 5.6) Pub Date : 2024-03-26 Fanghao Lu, Zhang Cao, Kai Zhao, Xiaoqian Zhang, Lijun Xu
Tunable diode laser absorption spectroscopy is widely used for temperature measurement in combustion monitoring due to its merits of rapidity, non-contact capability, and high precision. In actual applications, the beam-steering effect will cause time-varying distortion in the laser intensity signal, resulting in a low signal-to-noise ratio and inaccurate extraction of the absorption spectrum. This
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An ultra-rapid optical gas standard for dynamic processes: Absolute NH3 quantification and uncertainty evaluation Measurement (IF 5.6) Pub Date : 2024-03-26 Denghao Zhu, Sumit Agarwal, Bo Shu, Ravi Fernandes, Zhechao Qu
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Distributed strain monitoring method for structural vibration based on multi-point acceleration measurement Measurement (IF 5.6) Pub Date : 2024-03-26 Huang Xinjing, Zhang Zhipeng, Cheng Tongyao, Li Jian, Ma Jinyu
Fiber Bragg Grating (FBG) has been widely used in vibration monitoring due to its advantages of high sensitivity, resistance to electromagnetic interference and ease of networking. This paper proposes a method of distributed strain monitoring for vibrating structures where the surface is unsuitable for attaching FBG. This method utilizes measured multi-point acceleration to calculate dynamic displacement
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Filter collaborative contribution pruning method based on the importance of different-scale layers for surface defect detection Measurement (IF 5.6) Pub Date : 2024-03-25 Miao Wang, Zhenrong Wang, Bin Li, Tongzhi Niu, Weifeng Li, Baohui Liu
Surface defect detection is crucial in the industrial domain, but deploying deep learning models on edge devices faces challenges of memory constraints and real-time requirements. Therefore, model pruning is necessary to reduce the model’s parameter count and improve inference speed. Due to the high detection accuracy demanded in industrial defect detection, it is essential to prune the network while
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Fault feature signal extraction method for rolling bearings in gas turbine engines based on threshold parameter decision screening Measurement (IF 5.6) Pub Date : 2024-03-24 Yundong Sha, Junhao Zhao, Xiaochi Luan, Xinhang Liu
Vibrations during the operation of gas turbine engines (GTEs) include shocks from the combustion process as well as vibrations from high-speed rotating components, which may mask or distort the characteristic signals of rolling bearing failure. Compared to those of ordinary rolling bearings, the fault characteristics of rolling bearings in GTEs are more difficult to extract. In response to the difficulty
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Uncertainty elimination in 2D shape reconstruction of irregular particles in Interferometric particle imaging Measurement (IF 5.6) Pub Date : 2024-03-24 Yushi Fu, Hongxia Zhang, Jinghui Hou, Dagong Jia, Tiegen Liu
Interferometric Particle Imaging (IPI) technique is presently utilized in measuring irregular particle whose shape and size are indispensable parameters in various scientific fields, while orientation and size uncertainty are tough problems in IPI measurement. Herein, an effective method is proposed to eliminate aforementioned uncertainties. Based on Square Gradient function and multi-plane phase retrieval
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Real-time mapping of crop canopy temperature using a wireless network of infrared thermometers on a central pivot Measurement (IF 5.6) Pub Date : 2024-03-24 Andrés-F Jiménez, Brenda V. Ortiz, Bruno P. Lena
Efficient irrigation is essential for sustainable food production and regional water security. Temperature measurements provide information about crop water status, which allows the estimation of water needs and precise irrigation scheduling. This paper proposes a technology for agricultural irrigation management that combines cost-effective implementation with the ability to map crop canopy temperatures
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Maximizing solar energy utilization and controlling electrical consumption in domestic water heaters by integrating with aluminum reflector Measurement (IF 5.6) Pub Date : 2024-03-24 Ayad Q. Al-Dujaili, Abidaoun H. Shallal, Ahmad H. Sabry, Omar I. Dallal bashi, Yasir Mahmood Alkubaisi, Amjad J. Humaidi
Environmental concerns and rising energy costs require innovative solutions for household water heating. This work presents an innovative strategy for an evacuated tube-based electric/solar water heater (ESWH) incorporated with an aluminum reflector, which significantly reduces dependence on grid electricity. The whole area of the solar collector is about 2 m, 100 L of storage each, and the rated power
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A novel global calibration method for vision measurement system based on mirror-image stereo target Measurement (IF 5.6) Pub Date : 2024-03-24 Wanning Zhang, Fuqiang Zhou, Yang Liu, Lemiao Yang
Using three-dimensional (3D) targets to solve the transformation relationship between the local and global coordinate systems is a common global calibration method. However, 3D targets have complex structures and high costs. And multiple coordinate transformations during global calibration can cause significant cumulative errors. Therefore, based on reflection imaging, this paper designs a new mirror-image
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Prediction of the tunnelling advance speed of a super-large-diameter shield machine based on a KF-CNN-BiGRU hybrid neural network Measurement (IF 5.6) Pub Date : 2024-03-24 Junwei Jin, Qianqian Jin, Jian Chen, Chengzhen Wang, Mingyu Li, Liucheng Yu
The tunnelling advance speed (TAS) of a super-large-diameter tunnel boring machine (TBM) significantly affects project progress and safety. Effective prediction of the TAS of a TBM is crucial for early warning and evaluation of its excavation performance. This paper proposes a model based on convolutional neural network (CNN) and bidirectional gated recurrent unit (BiGRU) to predict TAS. This model
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EOLO, a wind energy forecaster based on public information and automatic learning for the Spanish Electricity Markets Measurement (IF 5.6) Pub Date : 2024-03-23 Diego Prieto-Herráez, Saray Martínez-Lastras, Laura Frías-Paredes, María Isabel Asensio, Diego González-Aguilera
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Inspecting epoxy layer defects in steel-epoxy-steel sandwich structures using guided waves Measurement (IF 5.6) Pub Date : 2024-03-23 Hao Guo, Rongguang Li, Ling Sun, Sixun Chen, Hongchen Miao
Steel-epoxy sleeves are widely used in the repair of pipelines. The integrity of the epoxy layer between the sleeve and pipeline directly determines the repair quality. However, there is a lack of effective nondestructive testing methods for inspecting the integrity of the epoxy layer. In this work, a guided wave-based inspection method is developed to detect the defects of the epoxy layer in the steel-epoxy-steel
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Sensitivity-Adjustable force sensors based on one-dimensional superlattice structures Measurement (IF 5.6) Pub Date : 2024-03-23 Yu-Jen Wang, Bei-Chia Chang, Yu-Jan Lo
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Optimizing pile bearing capacity prediction: Insights from dynamic testing and smart algorithms in geotechnical engineering Measurement (IF 5.6) Pub Date : 2024-03-22 Hadi Fattahi, Hossein Ghaedi, Farshad Malekmahmoodi, Danial Jahed Armaghani
In contemporary mining and geotechnical projects, various approaches are employed to predict the bearing capacity of piles (Q). However, accurately modeling pile behavior using numerical, experimental, analytical, and regression methods proves challenging and, at times, infeasible due to the intricate nature of geotechnical materials, uncertainties, and the interaction between soil and piles. Consequently
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An inter-laboratory comparison between 13 international laboratories for eight components relevant for hydrogen fuel quality assessment Measurement (IF 5.6) Pub Date : 2024-03-22 Karine Arrhenius, Abigail Morris, Mathew Hookham, Niamh Moore, Pierpaolo Modugno, Thomas Bacquart
The quality of the hydrogen delivered by refuelling stations is critical for end-users and society. The purity of the hydrogen dispensed at hydrogen refuelling points should comply with the technical specifications included in the ISO 14687:2019 and EN 17124:2022 standards. Once laboratories have set up methods, they need to verify their performances, for example through participation in interlaboratory
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Belt rotation in pipe conveyors: Development of an overlap monitoring system using digital twins, industrial Internet of things, and autoregressive language models Measurement (IF 5.6) Pub Date : 2024-03-22 Leonardo dos Santos e Santos, Paulo Roberto Campos Flexa Ribeiro Filho, Emanuel Negrão Macêdo
Belt rotation is a critical failure mode in pipe conveyors. However, overlap position monitoring remains unexplored. Existing monitoring solutions are expensive and lack scalability, primarily relying on detecting angle variations beyond predefined thresholds. We developed a digital twin of a low-cost test rig for measuring belt rotation using 3D prototyping, infrared distance sensors, and a 3-axis
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Research on magnetic detection target recognition method based on residual network combined with magnetic moment estimation Measurement (IF 5.6) Pub Date : 2024-03-21 Zhu Wen, Songtong Han, Chengwei Gao, Lumei Xu, Ying Fang, Luyong Ding
The unexploded ordnance left over from war conflicts and live-fire exercises has a strong invisibility, posing a serious threat to the safety of local residents' lives and property. Based on the idea of removing useless parameters and regressing the main parameters, we decompose the magnetization field of the dipole target into the product of the basis function and the simplified function, and invert
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Design and evaluation of a novel dual-channel complementary potentiometer for rotation measurement Measurement (IF 5.6) Pub Date : 2024-03-21 Hongliang Hua, Xiaofeng Wu, Naiyu Shi, Jing Zhang, Che Zhao, Zhongkui Zhu
The main objective of this work is to develop a novel Dual-Channel Complementary (DCC) potentiometer to enhance the measurement accuracy of the conventional rotational potentiometer. Its principle is utilizing the complementary characteristic of the signals, which exist a specific phase offset, from different channels to reduce the effect of their inherent nonlinearity on measurement accuracy, and
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An experimental approach to decoding human reactions through mixed measurements Measurement (IF 5.6) Pub Date : 2024-03-21 Artur Janowski, Małgorzata Renigier – Biłozor, Marek Walacik
The objective of the study was to find the answer to the question: if an image is worth more than a thousand words, how much is the virtual reality (VR) valuable for emotion recognition among participants in technologically advanced environments, with a focus on the measurement and metrology fundamentals? In the presented study, mixed methods involve the integration of Virtual Reality (VR) with pupil
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Wavelength measurement of narrowband terahertz radiation using a diffraction grating Measurement (IF 5.6) Pub Date : 2024-03-21 Paweł Komorowski, Przemysław Zagrajek, Marek Piszczek, Elżbieta Czerwińska, Norbert Pałka
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A combined theoretical, computational, and experimental investigation to evaluate performance of suitable thermocouple for microwave processing Measurement (IF 5.6) Pub Date : 2024-03-21 A. Mohanty, D.K. Patel, S.K. Panigrahi
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Robust gesture recognition method toward intelligent environment using Wi-Fi signals Measurement (IF 5.6) Pub Date : 2024-03-20 Xue Ding, Xiao Yu, Yi Zhong, Weiliang Xie, Bowen Cai, Minglei You, Ting Jiang
Wi-Fi-based gesture recognition represents an emerging paradigm of human–computer interaction. While deep learning-based and model-based solutions are crucial for improving accuracy and generalization performance, they often depend heavily on extensive datasets and the widespread deployment of sensing devices. In this paper, we address the challenge involving limited sensing data and devices. We propose
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Rotary INS self-alignment method based on backtracking filtering under large misalignment angle Measurement (IF 5.6) Pub Date : 2024-03-20 Chenming Zhang, Jie Li, Kaiqiang Feng, Xiaokai Wei
In the initial alignment, the accuracy of static base alignment is mainly limited by the short alignment time, the poor observability of azimuth misalignment, and sensor error. Traditional alignment methods cannot take into account the alignment time and accuracy without relying on external measurement assistance. In order to solve these problems, a new alignment method for RINS (Rotary Inertial Navigation
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High spatial resolution temperature variation detection in one direction with a fiber solenoid and RDTS system Measurement (IF 5.6) Pub Date : 2024-03-20 Peichao Chen, Ting Zhang, Xiaopeng Dong
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Determining the optimal sampling interval for 3D morphology measurements of different-sized natural rock joints Measurement (IF 5.6) Pub Date : 2024-03-20 Songlin Liu, Changshuo Wang, Rui Yong
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Field calibration of low-cost particulate matter sensors using artificial neural networks and affine response correction Measurement (IF 5.6) Pub Date : 2024-03-19 Slawomir Koziel, Anna Pietrenko-Dabrowska, Marek Wojcikowski, Bogdan Pankiewicz
Due to detrimental effects of atmospheric particulate matter (PM), its accurate monitoring is of paramount importance, especially in densely populated urban areas. However, precise measurement of PM levels requires expensive and sophisticated equipment. Although low-cost alternatives are gaining popularity, their reliability is questionable, attributed to sensitivity to environmental conditions, inherent
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Missing measurement data recovery methods in structural health Monitoring: The State, challenges and case study Measurement (IF 5.6) Pub Date : 2024-03-19 Jianwei Zhang, Minshui Huang, Neng Wan, Zhihang Deng, Zhongao He, Jin Luo
In the field of structural health monitoring (SHM), the sensor measurement signals collected from the structure are the foundation and key of the SHM system. However, the loss of sensor measurement signals can result in incomplete monitoring data, which in turn affects the accurate assessment of the structural health. The restoration of missing measurement signals in SHM is a multidisciplinary research
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Assessing seismic displacements and early warning using kinematic PPP with MADOCA real-time products: A case study of 2023 Kahramanmaraş (Türkiye) earthquakes Measurement (IF 5.6) Pub Date : 2024-03-19 Sinan Birinci, Furkan Sogukkuyu, Mehmet Halis Saka
Early warning and emergency hazard response studies in large earthquakes require rapid and reliable determination of earthquake magnitude. The magnitude of an earthquake can be estimated based on peak ground displacement (PGD) values captured from high-rate GNSS records. In this study, two major earthquakes that hit Kahramanmaraş Province on February 6, 2023, were investigated by using the real-time
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A high-fidelity numerical model of coherent Φ-OTDR Measurement (IF 5.6) Pub Date : 2024-03-18 Lijuan Zhao, Xuzhe Zhang, Zhiniu Xu
The existing coherent phase-sensitive optical time-domain reflectometry (φ-OTDR) model does not systematically consider the impact of various disturbances and noises. More importantly, it cannot effectively simulate low-frequency vibrations. To address this issue, a high-fidelity model is proposed. Unlike the existing models, the proposed model comprehensively considers interference fading, polarization
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Analysis on frost resistance and pore structure of phase change concrete modified by Nano-SiO2 under freeze-thaw cycles Measurement (IF 5.6) Pub Date : 2024-03-18 Fang Liu, Ran Tang, Weiwei Ma, Xiaosa Yuan
To study the effect of nano-SiO on the frost resistance of phase change concrete, and to further explore the deterioration of its internal pore structure under the effect of freeze–thaw cycles, X-ray tomography was applied to the rapid freeze–thaw test for the study of frost resistance, and the pore structure of the modified concrete was reconstructed during the freeze–thaw cycles. By image processing
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UAV building point cloud contour extraction based on the feature recognition of adjacent points distribution Measurement (IF 5.6) Pub Date : 2024-03-17 Chong Wu, Xijiang Chen, Taoyong Jin, Xianghong Hua, Wenxuan Liu, Jiayi Liu, Yulin Cao, Bufan Zhao, Yuhao Jiang, Qiwei Hong
Building point cloud contour is widely used in urban planning and building identification. The existing method cannot work well in the extraction of UAV building point cloud contour points because the low point cloud accuracy of UAV, and effect of noise. In this paper we propose extraction method of UAV building point cloud contour based on the adjacent points distribution. Firstly, we construct an
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Nonlinear guided waves in the sandwich nanostructure coupled with piezoelectric actuator: Introducing machine learning approach to measure nonlinear phase velocities Measurement (IF 5.6) Pub Date : 2024-03-17 Lei Chang, Hao Wu, Ahmad M. Alshamrani
In today's rapidly changing corporate environment, business executives are turning to cutting-edge technology to solve complex problems efficiently. A machine learning approach allows for a more thorough understanding and quantification of decision-making outcomes, leading to increased confidence in business decisions. In this work for the first time, machine learning approach and mathematical simulation
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Simultaneous measurement of temperature, liquid level and axial strain based on torsional taper Mach-Zehnder interferometer with Vernier effect Measurement (IF 5.6) Pub Date : 2024-03-17 Wujun Zhang, Yuangang Lu
A novel and simple highly-sensitive temperature, liquid level and axial strain sensor based on a torsional taper Mach-Zehnder interferometer (MZI) with Vernier effect is proposed. An interesting finding, which is the linear relationships between the wavelength shifts of resonance peaks (envelopes) and temperature, liquid level and axial strain surrounding the sensing fiber, is demonstrated experimentally
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Brushes and brains: Does handedness influence surface topography of art painting? Measurement (IF 5.6) Pub Date : 2024-03-17 François Berkmans, Frédéric Robache, Anna Mironova, Ludovic Nys, Michal Wieczorowski, Maxence Bigerelle
Distinguishing between right-handed and left-handed painters in the realm of painting is a question approached from various angles across different disciplines. Each approach, whether it's from neuropsychology, the study of the artwork itself, or the artist's imprint on the work, contributes insights to the burning question of whether the myth of the left-handed painter being more talented than their
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The study of hydraulic machinery condition monitoring based on anomaly detection and fault diagnosis Measurement (IF 5.6) Pub Date : 2024-03-17 Yingqian Liu, Rongyong Zhang, Zhaoming He, Qian Huang, Rongsheng Zhu, Huairui Li, Qiang Fu
The existing intelligent monitoring methods are hard to apply directly to hydraulic machinery due to fault data collection difficulties and the uncertainty of fault occurrence. To monitor the hydraulic machinery effectively, we design a novel feature extraction method called TFF_VMD and propose a comprehensive framework based on support vector data description (SVDD) and support vector machine (SVM)
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Wheel flat detection by using the angular domain synchronous averaging method and axle box acceleration: Simulation and experiment Measurement (IF 5.6) Pub Date : 2024-03-16 Yichang Zhou, Jonas Vuitton, Qiuyong Tian, Markus Hecht
Wheel flats (WFs) can generate periodic impact forces and aggravate the wheel-rail interaction. Therefore, the early detection of WFs is significant for railway operators to lower the maintenance cost. In this work, the angular domain synchronous averaging (ADSA) method is employed to detect WFs on railway vehicles since it can handle the non-stationary vibration process of rotating machines by processing
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Optimization of the installation techniques of distributed optic fiber sensors and measurement accuracy analysis for asphalt pavement based on finite element methods Measurement (IF 5.6) Pub Date : 2024-03-16 Zejiao Dong, Hongyang Song, Xianyong Ma, Yiheng Li, Donghao Wang, Yongkang Dong
The accurate measurement strain is critical to evaluating the structural integrity of asphalt pavements. The measurement strain error is caused by the encapsulation and installation of distributed optical fiber sensor (DOFS) for pavement monitoring. This study introduces an innovative approach to correct installation error. Firstly, a DOFS is embedded into asphalt pavement to simulate the mechanical
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Anisotropic magnetoresistance probed by non-resonant microwave absorption in exchange-biased NiFe/IrMn structures Measurement (IF 5.6) Pub Date : 2024-03-16 R.B. Morgunov, M.V. Bakhmetiev, A.D. Talantsev, A.I. Chernov
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MEMS miniaturized low-noise magnetic field sensor for the observation of sub-millihertz magnetic fluctuations in space exploration Measurement (IF 5.6) Pub Date : 2024-03-16 X. Manyosa, D. Roma-Dollase, M. Arqué, B. Bonastre, V. Jiménez, J. Ramos-Castro, J. Pons-Nin, V. Martín, J. Salvans-Tort, S. Gómez, A. Sanuy, J. Mauricio, D. Gascon, M. Nofrarias, M. Domínguez-Pumar
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High sensitivity and low temperature cross-talk magnetic field sensor with ferrofluid-filled in-fiber Mach-Zehnder interferometer Measurement (IF 5.6) Pub Date : 2024-03-16 Xizi Zhang, Ben Xu, Xingchao Ma, Yingfang Zhang, Huifang Chen, Shangzhong Jin, Chun-Liu Zhao, D.N. Wang, Chao Jiang
A ferrofluid-filled in-fiber Mach-Zehnder interferometer (MZI) is presented and validated for magnetic field sensing. It is constructed by embedding a short capillary tube filled with ferrofluid which is sandwiched between two SMFs through a short MMF at its both ends, and the device is experimentally proved having extreme high refractive index (RI) sensitivity. When the sensor is placed in an external
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Advances in self-sensing cement-based composites containing nano materials for smart civil infrastructures Measurement (IF 5.6) Pub Date : 2024-03-16 Yunyang Wang, Liqing Zhang, Baoguo Han, Shengwei Sun, Yonghui Qin, Xue Han, Guang Yang, Ming Li, Xiyan Fan, Wei Peng
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Experimental study on quantitative characterization of cavitation internal structure based on the distribution of void fraction in pressure relief valve Measurement (IF 5.6) Pub Date : 2024-03-16 Yujia Zhang, Beibei Li, Xiumei Liu, Ng See Kiong, Siyu Wu, Xuemin Ma, Rui Han
Accurately quantify the complex structure of cavitation in pressure relief valve by experiment remains a challenging task. In this research, a quantitative method for assessing the vapor volume fraction in cavitation images by void fraction experimentally is proposed, this method is less affected by environmental interference and could achieve rapid and accurate characterization of cavitation. The
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Data interpretation and forecasting of SHM heteroscedastic measurements under typhoon conditions enabled by an enhanced Hierarchical sparse Bayesian Learning model with high robustness Measurement (IF 5.6) Pub Date : 2024-03-16 Qi-Ang Wang, Quan Liu, Zhan-Guo Ma, Jun-Fang Wang, Yi-Qing Ni, Wei-Xing Ren, Hao-Bo Wang
Rapid advances in Structural Health Monitoring (SHM) have led to a new era of Big Data in the past decade. However, collected data may include a huge amount of heteroscedastic data, particularly under extreme events (e.g., typhoons), which makes robust decisions remain a challenging problem. To this end, this article proposed an enhanced Hierarchical Sparse Bayesian Learning (eHSBL) model for SHM field
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Innovative method for studying impact energy absorption of hybrid polymer composites used in the defence industry Measurement (IF 5.6) Pub Date : 2024-03-16 Kamil Czech, Mariusz Oleksy
This study presents an experimental methodology for testing the impact energy absorption of hybrid polymer composites used in the defence industry. For this purpose, an apparatus was also developed and designed in accordance with this methodology, the construction and operation of which are described in this publication. As part of this methodology, to provide a comprehensive characterization of the
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Virtual tactile POMDP-based path planning for object localization and grasping Measurement (IF 5.6) Pub Date : 2024-03-16 Chao Wang, Xizhe Zang, Chao Song, Zhiyang Liu, Jie Zhao, Marcelo H. Ang Jr
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Displacement measurement of underground prefabricated metro stations by computer vision technology Measurement (IF 5.6) Pub Date : 2024-03-15 Min Zhu, Wei Rao, Chengyu Hong, Xiangsheng Chen, Ji Dai, Chenggang Wu, Mengting Li
The increasing applications and structural vulnerability of prefabricated metro stations have resulted in a growing demand for monitoring their displacements during the construction and post-construction phases. This paper proposes a dual-camera computer vision monitoring system consisting of a dual-camera base station, a series of monitoring prisms and two reference prisms. The displacement and rotation
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A comprehensive error evaluation method for non-rigid body gantry machine tools considering quasi-static crosstalk based on optimized multilateration measurement Measurement (IF 5.6) Pub Date : 2024-03-15 Liyao Hou, Yaqi Zhang, Long Jing, Zhengchun Du, Nuodi Huang, Limin Zhu
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Estimation of vehicle suspension dynamics with data fusion for correcting measurement errors Measurement (IF 5.6) Pub Date : 2024-03-15 Zahra Ahangari Sisi, Mehdi Mirzaei, Sadra Rafatnia
This paper presents a novel algorithm that aims to estimate an accurate dynamic model for a vehicle suspension system. The proposed method addresses the uncertainties associated with the system model and unknown road input by incorporating complementary terms. These terms are calculated using information from accelerometers installed on both the sprung and unsprung masses. To correct measurement errors
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A new intelligent approach of surface roughness measurement in sustainable machining of AM-316L stainless steel with deep learning models Measurement (IF 5.6) Pub Date : 2024-03-15 Nimel Sworna Ross, Peter Madindwa Mashinini, C. Sherin Shibi, Munish Kumar Gupta, Mehmet Erdi Korkmaz, Grzegorz M. Krolczyk, Vishal S Sharma
Due to the manufacturing sector's digitalization and ability to combine quality measurement and production data, machine learning and deep learning for quality assurance hold enormous potential. In this situation, industries may process data to inform data-driven estimates of product quality, thanks to predictive excellence. This research investigates the machinability of Laser Powder Bed Fusion (LPBF)
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Measurement of air temperature fields in radiative environments using optical fibers Measurement (IF 5.6) Pub Date : 2024-03-15 Rafik Moulouel, Maxime Houvin, Marc Abadie, Patrick Salagnac, Pascal Borel, Didier Boldo
Air temperature measurement is important in fields such as meteorology, comfort, thermal conditioning, and numerical model validation. However, in highly radiant environments, thermal radiation is a challenge and can lead to significant errors in air temperature measurements. Current approaches, including reducing sensor size or surface emissivity, using radiation shields, and applying correction models
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Investigating the effects of reducing the number of temperatures and frequencies on the development of master curves for viscoelastic properties of bituminous composite Measurement (IF 5.6) Pub Date : 2024-03-15 Masood Gholami, Mojtaba Khodadadi, Pouria Hajikarimi, Ali Khodaii
This study aimed to assess the feasibility of substituting temperature sweep tests for frequency sweep tests and explore the potential of utilizing fewer temperatures and frequencies in dynamic modulus tests to formulate viscoelastic properties master curves. The results indicated that master curves derived from temperature sweep tests mirrored the trends and values obtained from frequency sweep tests
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A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox Measurement (IF 5.6) Pub Date : 2024-03-15 Zixu Chen, Jinchen Ji, Wennian Yu, Qing Ni, Guoliang Lu, Xiaojun Chang
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Method for detecting and locating cracks in aluminum plates based on balanced field electromagnetic technique Measurement (IF 5.6) Pub Date : 2024-03-15 Wenxue Zheng, Jiayin Li
Aluminum plates are susceptible to environmental and fatigue loads producing randomly distributed cracks and thus compromising safety performance. This paper proposes a detection and location method based on the balanced field electromagnetic technique (BFET) for the detection of cracks on the upper and backside surfaces. The self-zero nature of BFET and the principle of high-sensitivity crack detection
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An experimental study on dynamic response of cement concrete pavement under vehicle load using IoT MEMS acceleration sensor network Measurement (IF 5.6) Pub Date : 2024-03-15 Pengpeng Li, Zhoujing Ye, Songli Yang, Biyu Yang, Linbing Wang
Understanding the dynamic response of pavements is crucial for comprehending pavement deformation and interaction mechanisms under vehicle load. There is a notable absence of monitoring systems that involve the in-situ embedding of acceleration sensors within full-scale cement concrete pavement slabs. This research introduces an IoT system designed for the monitoring of pavement vibration responses
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Acoustic modeling and performance evaluation of 3D-printed and metal differential photoacoustic sensors for trace gas detection Measurement (IF 5.6) Pub Date : 2024-03-15 Guilherme Rodrigues Lima, André Pelais, Antônio Garbácio Neto, Milena Filadelpho Coutinho, Israrel Andrade Esquef, Arthur George Tissi Batista, Marcelo Gomes da Silva, Marcelo Silva Sthel, Maria Priscila Pessanha de Castro, Leonardo Mota
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A reliable methodology to estimate cable tension force in cable-stayed bridges using Unmanned Aerial Vehicle (UAV) Measurement (IF 5.6) Pub Date : 2024-03-14 G. Michel Guzman-Acevedo, Juan A. Quintana-Rodriguez, G. Esteban Vazquez-Becerra, Jorge Garcia-Armenta
An alternative methodology to estimate the tension force of cables using computer vision and Unmanned Aerial Vehicles (UAV) was proposed in this investigation. It was developed according to a simplified model to determine the fundamental frequency of the cables when are affected by daily vehicle loads. The methodology offers the advantage of accurately determining the tension force using just 2 min
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A novel method to calibrate standard angle gauge blocks Measurement (IF 5.6) Pub Date : 2024-03-14 Mahammad Arif Sanjid
Artefact standards, viz. polygons, angle gauges and indexed rotary tables, realize the geometric plane angle. The construction of the standard angle gauges restricts the pitch angle calibration using the closure technique. The angle gauges are traditionally calibrated using an autocollimator with an indexed rotary table. The positional errors in the angular scale of the rotary stage affect the measurement