Measurement最新文献_第5页

Real-time detection of vehicle hunting performance using a newly proposed evaluation indicator: Methodology and experimental validation 利用新提出的评估指标实时检测车辆狩猎性能：方法与实验验证

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-12 DOI: 10.1016/j.measurement.2025.118163

Qunsheng Wang, Hao Gao, Huailong Shi, Shidong Wu, Dadi Li, Jing Zeng

{"title":"Real-time detection of vehicle hunting performance using a newly proposed evaluation indicator: Methodology and experimental validation","authors":"Qunsheng Wang, Hao Gao, Huailong Shi, Shidong Wu, Dadi Li, Jing Zeng","doi":"10.1016/j.measurement.2025.118163","DOIUrl":"10.1016/j.measurement.2025.118163","url":null,"abstract":"<div><div>During long-term service, railway vehicles are subjected to significant challenges in maintaining stable hunting performance. Developing a reliable diagnostic tool for detecting hunting instability in real-time and establishing a practical method for early warning are crucial to ensuring vehicle safety and operational comfort. In this study, a novel diagnostic approach is introduced, utilizing a newly proposed evaluation indicator, Hunting Coefficient (<em>H<sub>C</sub></em>), to assess wheelset lateral motion. The indicator is derived from the conventional frame lateral vibration acceleration and reformulated to enable evaluation based on wheelset lateral displacement. A high-speed railway vehicle dynamics model is established to reproduce typical hunting phenomena occurring during line operations, identifying key influencing factors and providing preliminary threshold values for <em>H<sub>C</sub></em> calculation. To validate the method, rig tests are conducted on various types of vehicles, including high-speed trains, subways, and express freight wagons. The results show that the <em>H<sub>C</sub></em>-based diagnostic method enables accurate real-time identification of vehicle hunting states, provides early warnings of instability, and serves as a valuable tool for effective vehicle condition monitoring and predictive maintenance.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118163"},"PeriodicalIF":5.2,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel method for high temperature strain sensing with embedded FBGs in titanium and nickel-based alloys 在钛基和镍基合金中嵌入fbg的高温应变传感新方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-12 DOI: 10.1016/j.measurement.2025.118161

Song Zhang , Jianqiang Xin , Yang Liu , Hui Zhang

{"title":"A novel method for high temperature strain sensing with embedded FBGs in titanium and nickel-based alloys","authors":"Song Zhang , Jianqiang Xin , Yang Liu , Hui Zhang","doi":"10.1016/j.measurement.2025.118161","DOIUrl":"10.1016/j.measurement.2025.118161","url":null,"abstract":"<div><div>A novel method for high-temperature strain measurement of metal structures based on composite coated FBG sensors was proposed, which utilizing plasma-sprayed metal coating for integration of metal substrate and optical fiber sensor. The parameters such as the diameter of composite coated FBG fiber, the spraying coating material and the slot structure were optimized. A diameter of 260 μm to 300 μm is recommended for embedding, considering the bending property and protection of FBG during plasma spray. For a 5-mm long grating sensor, a single 7-mm slot can ensure the uniformity of deformation for the fibers in tensile test after integration. When integrated with titanium alloy using NiCrAlY coating, the Cr/Ni coated FBG sensor can operate up to 2130.85 μɛ stably at 500 °C with a sensitivity of 1.01 pm/μɛ. Also, when integrated with nickel-based alloy, the sensor can operate up to 2868.60 μɛ at 700 °C with a sensitivity of 1.07 pm/μɛ. The experiment results verified that the integration procedure proposed in this paper can solve the problem of strain measurement of metallic materials at high temperature.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118161"},"PeriodicalIF":5.2,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of remaining useful life of milling tool using a low-cost data acquisition system 利用低成本数据采集系统预测铣刀的剩余使用寿命

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.118153

T. Mohanraj , E.S. Kirubakaran , M.L. Naren , P. Suganithi Dharshan , Mohamed Ibrahim , A. Pramanik

{"title":"Prediction of remaining useful life of milling tool using a low-cost data acquisition system","authors":"T. Mohanraj , E.S. Kirubakaran , M.L. Naren , P. Suganithi Dharshan , Mohamed Ibrahim , A. Pramanik","doi":"10.1016/j.measurement.2025.118153","DOIUrl":"10.1016/j.measurement.2025.118153","url":null,"abstract":"<div><div>This study addresses a critical challenge in smart manufacturing: monitoring the condition of end mill tools and accurately predicting their Remaining Useful Life (RUL). The development of machine learning enabled tool condition monitoring systems is essential for advancing unmanned and automated machining operations, where early fault detection can reduce tool failure, unplanned downtimes, and overall manufacturing costs. In this work, a novel, cost-effective, and compact Data Acquisition (DAQ) system was developed using an Arduino microcontroller, MPU6050 accelerometer, and the PLX-DAQ Excel add-in. The low-cost hardware configuration makes the system particularly suitable for adoption by Micro, Small, and Medium Enterprises (MSMEs), supporting scalable and accessible predictive maintenance solutions. After collecting real-time vibration signals during milling, features were extracted from the time, frequency, and time–frequency domains. Significant features were selected using the Least Absolute Shrinkage and Selection Operator and used to train various regression models for predicting both tool wear and RUL. Additionally, a fusion of feature approaches was introduced to enhance the results. A total of ten regression models, including ensemble approaches, were evaluated using performance metrics such as Coefficient of Determination (R<sup>2</sup>), Relative Squared Error (RSE), Mean Absolute Error (MAE), Relative Absolute Error (RAE), and Root Mean Squared Error (RMSE). Among these, the CatBoost Regressor with fusion of features outperformed others by achieving the lowest prediction errors and highest accuracy. This research contributes toward achieving multiple United Nations Sustainable Development Goals: SDG 9 (Industry, Innovation and Infrastructure) by promoting affordable digital transformation in manufacturing, and SDG 8 (Decent Work and Economic Growth) by enabling more efficient, less labour-intensive operations.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118153"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multi-step joint noise reduction method of the distributed acoustic sensor data for flow rate monitoring 一种流量监测分布式声传感器数据的多步联合降噪方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.118151

Guozhen Tan , Tong Zhou , Fei Liu , Xin Huang , Guo Zhu , Zhi Wang , Hao Zeng , Yuanyuan Li , Xian Zhou

{"title":"A multi-step joint noise reduction method of the distributed acoustic sensor data for flow rate monitoring","authors":"Guozhen Tan , Tong Zhou , Fei Liu , Xin Huang , Guo Zhu , Zhi Wang , Hao Zeng , Yuanyuan Li , Xian Zhou","doi":"10.1016/j.measurement.2025.118151","DOIUrl":"10.1016/j.measurement.2025.118151","url":null,"abstract":"<div><div>Distributed acoustic sensor (DAS) based on phase-sensitive optical time domain reflectometry (Ф-OTDR) has become a novel and effective acoustic perception tool in various fields. However, when applied to the fluid monitoring, the target acoustic signal obtained by DAS becomes blurred due to the weak amplitude of the Rayleigh backscattering (RBS) signal itself, as well as the interference caused by the working environment. Here, we propose a multi-step joint (MSJ) noise reduction method to suppress the noise of the raw DAS data in flow rate monitoring effectively, which contains four steps, i.e., moving average (MA), wavelet packet transform (WPT), bandpass filtering (BPF), and envelope extraction (EE). To evaluate the noise suppression effect of the DAS data, we build a novel criterion, the distance series cumulative signal-to-noise ratio (dCSNR). Compared to the raw data, the dCSNRs of the denoised data at different flow rates are improved by more than 15 dB. In addition, the R<sup>2</sup> value of the fitted curve between flow rate and relative acoustic energy (RAE) using the denoised data by the MSJ method is improved from 0.9086 to 0.9635 compared to that using the raw DAS data. The established flow rate prediction model with the noise-suppressed DAS data also demonstrates a mean absolute percentage error (MAPE) as low as 8.81 % and the average relative uncertainty is 4.1 %. We believe the efforts here, including the DAS data denoising method (i.e., MSJ method) and the DAS data quality assessment criterion (i.e., dCSNR), will advance the DAS application in various fields, especially the oil and gas industry.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118151"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel tool wear state recognition framework based on graph neural networks 一种基于图神经网络的刀具磨损状态识别框架

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.118155

Zijun Su, Yuhang Chen, Zhijie Xia, Zhangchenlong Huang, Shuwei Zhu, Zhisheng Zhang, Min Dai, Haiying Wen

{"title":"A novel tool wear state recognition framework based on graph neural networks","authors":"Zijun Su, Yuhang Chen, Zhijie Xia, Zhangchenlong Huang, Shuwei Zhu, Zhisheng Zhang, Min Dai, Haiying Wen","doi":"10.1016/j.measurement.2025.118155","DOIUrl":"10.1016/j.measurement.2025.118155","url":null,"abstract":"<div><div>The tool wear state significantly influences the surface quality of alloy workpieces during milling, thereby affecting working performance and service life. Given the continuous characteristics of tool wear, collected data is often imbalanced, and fuzzy regions exist between different wear stages, which hinder accurate identification of wear states. Existing studies seldom exploit the non-Euclidean structural relationships among multi-sensor signals to enhance the accuracy of tool wear state recognition. To address these limitations, a novel tool wear state recognition framework based on graph neural networks is proposed. A method for defining nodes is introduced to characterize the tool wear state by leveraging the latent relationships between nodes. A multi-receptive fields fusion graph attention network is employed to capture more global information by utilizing important nodes to generate weight coefficients for multiple graphs. This approach effectively extracts meaningful features and improves classification accuracy for data in fuzzy regions between wear stages. The final output is further strengthened through the linear combination of outputs from two parallel fully-connected layers. The proposed framework’s effectiveness is validated using the PHM2010 dataset, which achieved 99.68 %, 98.41 %, and 98.41 % accuracy on three D cross-datasets, respectively. This framework enables precise recognition of three tool wear states based on force and vibration sensor signals and facilitates flexible tool replacement strategies in intelligent manufacturing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118155"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel calibration method for uniaxial MEMS-based structured light system with linear transition function 一种线性跃迁单轴mems结构光系统的标定方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.117969

Yuping Ye , Gang Zhou , Xiujing Gao , Zhenghui Hu , Yi Chen , Zhao Song , Zhan Song

{"title":"A novel calibration method for uniaxial MEMS-based structured light system with linear transition function","authors":"Yuping Ye , Gang Zhou , Xiujing Gao , Zhenghui Hu , Yi Chen , Zhao Song , Zhan Song","doi":"10.1016/j.measurement.2025.117969","DOIUrl":"10.1016/j.measurement.2025.117969","url":null,"abstract":"<div><div>In the field of structured light technique, it is a developing trend to use MEMS mirror instead of Digital Light Processing projector as an active light-emitting device with its advantages such as smaller size, reduced power consumption and faster scanning speeds. Given that MEMS mirrors operate as lens-free optical emitters and are limited to projecting uni-axial patterns, the classic pinhole model and projected-checkerboard-based calibration method are infeasible for the MEMS-based structured light system. Thus, the modeling and calibration of the MEMS-based structured light system present a formidable challenge. In this paper, we propose an improved pinhole model by introducing a linear transition function to model MEMS mirrors, along with a novel two-step calibration method to calibrate the system parameters. The proposed model, containing only 32 parameters, simplifies the calibration procedure without compromising accuracy. With no need of the projected checkerboard, the proposed two-step calibration method can acquire the system parameters accurately. In experimental parts, the ablation study on the proposed model and the convergence of the two-step calibration method are discussed firstly. The calibration and reconstruction accuracy based on the proposed model and calibration method are validated by 3D reconstruction of standard and free-from objects quantitatively and qualitatively.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 117969"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing UAV-SfM photogrammetry for efficient monitoring of gully erosion in high-relief terrains 优化无人机- sfm摄影测量技术，有效监测高起伏地形沟壑侵蚀

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.118154

Qiong Wang , Nufang Fang , Yi Zeng , Chenjia Yuan , Wei Dai , Rui Fan , Heng Chang

{"title":"Optimizing UAV-SfM photogrammetry for efficient monitoring of gully erosion in high-relief terrains","authors":"Qiong Wang , Nufang Fang , Yi Zeng , Chenjia Yuan , Wei Dai , Rui Fan , Heng Chang","doi":"10.1016/j.measurement.2025.118154","DOIUrl":"10.1016/j.measurement.2025.118154","url":null,"abstract":"<div><div>High-resolution 3D topographic surveys are crucial for detecting topographic changes and combating gully erosion, with Unoccupied Aerial Vehicle-Structure-from-Motion (UAV-SfM) photogrammetry offers a cost-effective solution. However, the influence of key controllable factors-including image collection strategies, ground control points (GCPs), and position and orientation system (POS) constraints-on the accuracy of gully models and monitoring precision remains insufficiently understood. This study evaluates multiple UAV-SfM scenarios to elucidate the factors influencing modeling accuracy and incorporates these insights into a gully erosion monitoring framework. Results indicate that flight altitude and camera angle have minimal impact on model accuracy, with an altitude of approximately 100 m achieving a ∼0.03 m resolution. While oblique imagery is more laborious than nadir imagery, it remains preferred for monitoring internal gully changes as it enhances detail capture. The quantity of GCPs exerts a stronger influence on bundle adjustment than their distribution, with two GCPs per hectare achieving centimeter-level positional accuracy (0.026 ± 0.012 m) but having minimal impact on volume errors. Notably, high-precision POS data impose stronger constraints than GCPs and image collection strategies. In POS-georeferenced scenarios, gully volume error remains lower and stable (0.87 % ± 0.81 %) compared to GCP-only georeferencing and decreases further without GCPs (0.42 % ± 0.40 %). Furthermore, an erosion change detection threshold of 0.086 ± 0.019 m was established as a practical benchmark. These findings validate the feasibility of high-precision POS-georeferenced UAV imagery for gully erosion monitoring, enabling accurate assessments without GCPs or complex image collection strategies and supporting more efficient UAV-based monitoring.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118154"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel test items evaluation method for mixed-signal system-on-chips based on extra information gain cost 一种基于额外信息增益代价的混合信号片上系统测试项目评估方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.118160

Kewei Deng , Houjun Wang , Pu Pu , Taochen Gu , Enxiao Liu , Zhenyu Zhao

{"title":"A novel test items evaluation method for mixed-signal system-on-chips based on extra information gain cost","authors":"Kewei Deng , Houjun Wang , Pu Pu , Taochen Gu , Enxiao Liu , Zhenyu Zhao","doi":"10.1016/j.measurement.2025.118160","DOIUrl":"10.1016/j.measurement.2025.118160","url":null,"abstract":"<div><div>As system-on-chip (SoC) grow increasingly complex, the number of test items required for accurate characterization continues to rise. However, the high test time necessitates efficient test process optimization. Although several studies have explored in digital chips, where test data are more accessible and scan chains enable efficient defect localization, these methods are often ineffective for analog chips. In mixed-signal SoC tests, advanced optimization algorithms typically rely on the posterior probability knowledge, which is usually unavailable under the stop-on-first-failure mechanism. To overcome these limitations, this paper proposes a novel test items evaluation method by introducing an extra information gain cost (EIGC) index. The proposed method is based on correlation analysis, where each test item is assessed throughout the entire test process without relying on failed chips’ database. It is validated through experiments on the final test and binning process of two mixed-signal SoC designs. Results demonstrate that reordering test sequences and pruning redundant test items based on the EIGC index can achieve a significant reduction in test time without defective chips escaping. To the best of our knowledge, for the first time, such an index is introduced to evaluate the SoC test items under stop-on-first-failure mechanism without requiring posterior probability knowledge.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118160"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel independent component analysis-based approach for extracting ultrasonic Time-of-Flight in the presence of non-Gaussian co-frequency noise 基于独立分量分析的非高斯共频噪声下超声飞行时间提取方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.118141

Shizhen Zhang , Weijia Shi , Xinqi Tian , Lianwei Sun , Bo Zhao , Jiubin Tan

{"title":"A novel independent component analysis-based approach for extracting ultrasonic Time-of-Flight in the presence of non-Gaussian co-frequency noise","authors":"Shizhen Zhang , Weijia Shi , Xinqi Tian , Lianwei Sun , Bo Zhao , Jiubin Tan","doi":"10.1016/j.measurement.2025.118141","DOIUrl":"10.1016/j.measurement.2025.118141","url":null,"abstract":"<div><div>Ultrasonic non-destructive stress testing plays a pivotal role in the manufacturing of precision equipment. The extraction of the Time-of-Flight (ToF) from an ultrasonic echo signal is critical for accurate stress detection. However, co-frequency noise, which is inevitably present in the echo signal, significantly affects the precise determination of ToF. This study introduces a novel ToF extraction method, referred to as the Co-T algorithm, to mitigate this issue. The proposed method first incorporates a high-frequency signal and a low-frequency signal into the ultrasonic echo signal. Subsequently, the Co-T algorithm is employed to calculate the ToF by evaluating the minima of the auto-correlation results of the signals, which are separated using the Fast Independent Component Analysis (FastICA). Simulation results demonstrate that the proposed algorithm can successfully extract the ToF from signals with a signal-to-noise ratio (SNR) exceeding 0 dB, achieving an identification error of less than 0.04 μs, and demonstrates the robustness against different co-frequency noise types. Furthermore, the proposed method is shown to be superior to existing techniques, including the Hilbert transform, wavelet thresholding algorithms, K-SVD (K-Singular Value Decomposition), and AVMD (Adaptive Variational Mode Decomposition) algorithms. Experimental results validate the efficacy and accuracy of the Co-T algorithm in retrieving ToF from signals in co-frequency noise environments.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118141"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rayleigh scattering-based distributed sensing in multicore optical fibers for shape reconstruction in multiplanar disturbance 基于瑞利散射的多芯光纤分布传感在多平面扰动下的形状重建

IF 5.2 2区工程技术

Measurement Pub Date : 2025-06-11 DOI: 10.1016/j.measurement.2025.118101

Leandro Macedo , Anselmo Frizera , Jan Nedoma , Radek Martinek , Carlos Marques , Arnaldo Leal-junior

{"title":"Rayleigh scattering-based distributed sensing in multicore optical fibers for shape reconstruction in multiplanar disturbance","authors":"Leandro Macedo , Anselmo Frizera , Jan Nedoma , Radek Martinek , Carlos Marques , Arnaldo Leal-junior","doi":"10.1016/j.measurement.2025.118101","DOIUrl":"10.1016/j.measurement.2025.118101","url":null,"abstract":"<div><div>In recent years, advancements in smart cities and multifunctional monitoring have driven new demands for shape reconstruction devices. Multicore fibers (MCFs) are increasingly used due to their parallel data transmission capabilities and multiparameter sensing potential. This paper presents a Rayleigh-scattering-based distributed sensing approach with MCFs for shape reconstruction under multiplanar disturbances. Optical Frequency-Domain Reflectometry (OFDR) is utilized to analyze four cores in a seven-core fiber, enabling shape reconstruction through cross-correlation of spectral responses relative to an unstrained reference. Two configurations are compared: Configuration 1, a spatially separated core arrangement enabling independent strain independent strain measurements to be analyzed with a Frenet-Serret frame modeling and Random Forest (RF) algorithms, achieving a high accuracy with a maximum error of 8.72 × 10<sup>−3</sup> cm; and Configuration 2, a simplified approach analyzing all cores in the same OFDR channel, yielding a higher error of 0.27 cm when a RF algorithm was fed with features derived from the Rayleigh backscattered signal (loss amplitude, strain, spectral shift, and s- and p-polarization) measured by an optical backscatter reflectometer. Three protocols—pure bending, pure torsion, and combined bending/torsion—validate these configurations. The results emphasize this multifunctional MCF-based sensor system’s potential for flexible, integrated shape reconstruction solutions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118101"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0