Measurement最新文献_第3页

Comparative analysis of fractal dimension and novel geometric indices for assessing branch cutting quality

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-05 DOI: 10.1016/j.measurement.2025.116941

Mohamad Safvati, Saeid Minaei, Alireza Mahdavian

{"title":"Comparative analysis of fractal dimension and novel geometric indices for assessing branch cutting quality","authors":"Mohamad Safvati, Saeid Minaei, Alireza Mahdavian","doi":"10.1016/j.measurement.2025.116941","DOIUrl":"10.1016/j.measurement.2025.116941","url":null,"abstract":"<div><div>The limitations of the fractal dimension analysis are addressed in this study through the introduction of innovative geometric parameters: Surface Smoothness Index (SSI), Area Deformation Coefficient (ADC), and Perimeter Deformation Coefficient (PDC). The effects of blade curvature, cutting speed, branch diameter, and moisture content on these indices were studied using a systematic approach. Image analysis was performed using ImageJ software to ensure accurate measurements in the evaluation of sheared Morus alba branches. Using Response Surface Methodology (RSM), the effects of various input parameters on cutting quality were examined. A single quality parameter, here fractal dimension (FD), was found to be insufficient for capturing the complexities of cutting quality, as none of the main, nonlinear, or interaction effects emerged as significant in the full quadratic model. This is while the novel geometric indices introduced here were able to effectively capture the intricate relationships in cutting quality. The results indicated that optimizing cutting parameters, namely, cutting speeds above 400 mm/min and blade curvature radii greater than 47 mm significantly improved cutting quality. It was determined that maintaining branch moisture content in the 40 to 42 % range is optimal for achieving acceptable performance. Overall, the study emphasized the importance of adjusting these input variables to enhance cutting effectiveness across various branch diameters. By taking the combined geometric parameters into account, more informed decisions could be made in pruning practices.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116941"},"PeriodicalIF":5.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372329","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 deep learning approach for the prediction of ionospheric total electron content (TEC) based on combined prediction and two-step loss fine-tuning

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-04 DOI: 10.1016/j.measurement.2025.116904

Mingjun Deng , Keyu Li , Ning Liu , Lijing Bu , Zhengpeng Zhang , Chengjun Wang , Yin Yang , Xiaoting Nie

{"title":"A deep learning approach for the prediction of ionospheric total electron content (TEC) based on combined prediction and two-step loss fine-tuning","authors":"Mingjun Deng , Keyu Li , Ning Liu , Lijing Bu , Zhengpeng Zhang , Chengjun Wang , Yin Yang , Xiaoting Nie","doi":"10.1016/j.measurement.2025.116904","DOIUrl":"10.1016/j.measurement.2025.116904","url":null,"abstract":"<div><div>With the increasing modern space mission complexity, synthetic aperture radar (SAR) has gained attention for its all-weather, all-day capabilities. Countries are actively developing low-frequency spaceborne SAR. However, ionospheric delay due to lower operating frequencies cannot be ignored, as it directly impacts SAR positioning accuracy. The ionosphere’s total electron content (TEC) directly indicates ionospheric delay magnitude, making accurate TEC estimation essential for real-time, high-precision spaceborne SAR positioning. This study employs Convolutional Gated Recurrent Units (ConvGRU) to examine the effects of model input length and prediction interval on TEC forecasts. A combined prediction strategy for medium- to long-term global ionospheric TEC improves performance by 55.6% compared to recursive methods. Furthermore, we used a two-step loss fine-tuning strategy to refine the combined prediction method. Statistical indicators demonstrate that our training strategy effectively improves the accuracy of combined predictions. Moreover, this strategy can be conveniently transferred to other deep learning methods.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116904"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372330","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

EKI-based inverse modeling for multi-radionuclide source term estimation from time-series gamma dose rates during radiological emergencies

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-04 DOI: 10.1016/j.measurement.2025.116938

Siho Jang , Juryong Park , Hyun-Ha Lee , Eung Soo Kim

{"title":"EKI-based inverse modeling for multi-radionuclide source term estimation from time-series gamma dose rates during radiological emergencies","authors":"Siho Jang , Juryong Park , Hyun-Ha Lee , Eung Soo Kim","doi":"10.1016/j.measurement.2025.116938","DOIUrl":"10.1016/j.measurement.2025.116938","url":null,"abstract":"<div><div>We developed an ensemble-based method for estimating multi-radionuclide source terms during nuclear accidents using gamma dose rate observations. By integrating a GPU-accelerated Gaussian puff model with advanced Ensemble Kalman Inversion (EKI) – including Standard, Localized, and Adaptive EKI – estimation accuracy and computational efficiency are enhanced. The method was tested using synthetic data simulating the release of radionuclides Kr-88, I-131, Te-132, Sr-91, and Sb-129 over a 12-hour period within a 30-kilometer radius. Gamma dose rates were measured at multiple locations, with relative errors introduced to simulate measurement uncertainties. The approach successfully estimated time-varying release rates of multiple radionuclides without prior knowledge of their ratios, especially for Kr-88, even under high-error conditions. The use of Localized and Adaptive EKI allowed for a significant reduction in the required ensemble size and iterations, optimizing computational load without compromising accuracy. This method enables dynamic estimation of transient multi-radionuclide source terms using time-series data, even in nonlinear systems, supporting improved emergency response strategies and environmental monitoring during nuclear incidents. The findings demonstrate that accurate inverse estimation is feasible based solely on gamma dose rate measurements, contributing to better preparedness and mitigation efforts in nuclear emergencies.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116938"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376798","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

Vehicle-mounted GNSS navigation and positioning algorithm considering signal obstruction and fuzzy logic in urban environment

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-04 DOI: 10.1016/j.measurement.2025.116919

Zhe Yue , Wenzhuo Ma , Yuting Gao , Chenchen Sun , Mengshuo Zhang , Zengzeng Lian , Kezhao Li

{"title":"Vehicle-mounted GNSS navigation and positioning algorithm considering signal obstruction and fuzzy logic in urban environment","authors":"Zhe Yue , Wenzhuo Ma , Yuting Gao , Chenchen Sun , Mengshuo Zhang , Zengzeng Lian , Kezhao Li","doi":"10.1016/j.measurement.2025.116919","DOIUrl":"10.1016/j.measurement.2025.116919","url":null,"abstract":"<div><div>In response to the challenges of limited navigation and positioning accuracy in urban environments and insufficient utilization of Non-Line-of-Sight (NLOS) information, this paper proposes a vehicle-mounted GNSS navigation and positioning algorithm considering signal obstruction and fuzzy logic in urban environment. Initially, the environment information above the vehicle is captured with the assistance of the skyward fisheye camera. Based on the designed image segmentation technology, the sky and non-sky areas are distinguished. Subsequently, a satellite projection model is established to project satellite signals onto the obtained image, by comparing the edge pixel coordinates of the sky and non-sky areas, Line of Sight (LOS) and NLOS signals are differentiated. Furthermore, addressing the issue that existing research has not fully characterized the obstruction degree of NLOS signals, a method is proposed to represent the degree of obstruction of satellite NLOS signals based on the principle of the nearest pixel point and to reasonably utilize their useful information. Building on this, combining the obtained representation of satellite NLOS signal obstruction, elevation angle, and Signal-to-Noise Ratio (SNR), a weighted comprehensive assessment method is designed based on the characteristics of fuzzy logic in handling uncertainty and ambiguity, thereby fully and reasonably utilizing NLOS signal information. Finally, this method improves positioning accuracy by 43.61% and 39.15% compared to existing SNR/elevation-based and NLOS-discarding methods, respectively, and by 7.09% over the best results achieved with uniform weighting of NLOS signals. It also offers greater efficiency and robustness than methods relying on average pixel values to assess NLOS signals.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116919"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372325","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

Use of orthogonal treatment of acoustic attributes to study interaction effects in sound quality design

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-04 DOI: 10.1016/j.measurement.2025.116932

Daniel J. Lesko, Vinh Nguyen

{"title":"Use of orthogonal treatment of acoustic attributes to study interaction effects in sound quality design","authors":"Daniel J. Lesko, Vinh Nguyen","doi":"10.1016/j.measurement.2025.116932","DOIUrl":"10.1016/j.measurement.2025.116932","url":null,"abstract":"<div><div>Traditional methods of studying psychoacoustic attributes rely on subjective measurement of non-orthogonal sound samples. However, this approach has a narrow inference space due to the non-orthogonality of the acoustic attributes. This research aims to utilize an orthogonal treatment of acoustic attributes to study interaction effects in the sound quality of a fan-powered HVAC appliance by manipulating critical psychoacoustic attributes to create a broadened inference space. The results show that, in addition to the effects of loudness, sharpness, roughness, and prominence ratio, the roughness*prominence ratio, sharpness*prominence ratio, and the roughness*sharpness*prominence ratio interactions were statistically significant. Hence, this work demonstrates the importance of sound attribute interactions to consumers. Furthermore, comparing the empirical models without and with significant interactions demonstrated improvements in predicting the consumer response when including interaction effects. This work recommends considering psychoacoustic interactions, especially sharpness*roughness*prominence ratio, in designing products for improved consumer satisfaction.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116932"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350182","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

Measurement of loess damage under the combination of freeze-thaw cycles and earthquakes using electrical resistivity tests

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-04 DOI: 10.1016/j.measurement.2025.116939

Ganglie Yuan , Ailan Che , Yanhu Mu

{"title":"Measurement of loess damage under the combination of freeze-thaw cycles and earthquakes using electrical resistivity tests","authors":"Ganglie Yuan , Ailan Che , Yanhu Mu","doi":"10.1016/j.measurement.2025.116939","DOIUrl":"10.1016/j.measurement.2025.116939","url":null,"abstract":"<div><div>Electrical resistivity tests can potentially be applied in loess damage testing under combined freeze–thaw cycle (FTC) and earthquake conditions, which is crucial for preventing and controlling loess landslides. However, two challenges involving loess electrical resistivity measurements and damage characterization should be addressed. To achieve loess spatial resistivity measurements in extreme environments with low-uncertainty, a novel, multichannel, four-point method utilizing flexible electrodes is proposed. For loess damage characterization, a novel fusion algorithm is developed that integrates the electrical conductivity model with a data-driven process to eliminate the influence of moisture content and temperature on resistivity. To validate this approach, loess resistivity tests and damage characterizations were conducted using a combination of FTCs and earthquakes. The results indicate that the proposed method addresses the challenge of continuous measurement, ensuring that the discrepancy between the calculated and CT test results remains within an acceptable range, where the relative error ranged from 0 to 0.15. In addition, in the top and bottom areas, where considerable soil moisture exists, the calculation error associated with the previous empirical model was reduced considerably, with the relative error primarily ranging from 0.04 to 0.44.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116939"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350183","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

Development of a mobile online detector for soil total nitrogen based on visible and short-wave near-infrared spectroscopy

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-04 DOI: 10.1016/j.measurement.2025.116933

Peng Zhou , Yixiang Gu , Chengqian Jin , Yangxin Zhu , Yazhou Ou , Yinuo Kong , Xiang Yin , Shanshan Hao

{"title":"Development of a mobile online detector for soil total nitrogen based on visible and short-wave near-infrared spectroscopy","authors":"Peng Zhou , Yixiang Gu , Chengqian Jin , Yangxin Zhu , Yazhou Ou , Yinuo Kong , Xiang Yin , Shanshan Hao","doi":"10.1016/j.measurement.2025.116933","DOIUrl":"10.1016/j.measurement.2025.116933","url":null,"abstract":"<div><div>To develop a soil total nitrogen (STN) detection equipment with high accuracy, strong adaptability, and low cost, this study presents an innovative approach and successfully develops a mobile online STN detector based on visible and short-wave near-infrared (VIS-SWNIR) spectroscopy. The equipment mainly consists of optical system, mechanical system and control system. Different from most of the previous devices, it no longer relies on special optics. Instead, the equipment uses self-developed software to obtain the soil characteristic spectral data through real-time soil spectral extraction and invokes the STN model to obtain the detection value. A dataset comprising spectral reflectance and STN was constructed using 100 soil samples for model training. The Multiplicative Scatter Correction, First Derivative, and Competitive Adaptive Reweighted Sampling algorithms are selected to construct the PLSR model, based on the comparison of the modeling results from 10 preprocessing forms and 3 characteristic wavelength selection algorithms. The coefficient of determination for calibration and validation are 0.8767 and 0.8366, respectively. The Root Mean Square Error of calibration and validation are 0.0229 and 0.0298, respectively. To ensure the accuracy and stability of the equipment, appropriate tests are conducted on it in the laboratory. According to the results, during continuous operation for 2 h, the collection error of the detector’s characteristic wavelength reflectance remains within 1.80%. The self-developed software demonstrates sensitive responsiveness and strong stability. Moreover, the equipment exhibited strong performance in laboratory sample testing and field simulation tests, achieving correlation coefficients of 0.8862 and 0.8780, respectively, between measured and true values.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116933"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372351","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

Multisensing and friction improvement of water-lubricated bearings via embedded polyimide/MWCNT nanofiber films

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-04 DOI: 10.1016/j.measurement.2025.116935

Enchi Xue , Zhiwei Guo , Zumin Wu , Qiren Huang , Chengqing Yuan

{"title":"Multisensing and friction improvement of water-lubricated bearings via embedded polyimide/MWCNT nanofiber films","authors":"Enchi Xue , Zhiwei Guo , Zumin Wu , Qiren Huang , Chengqing Yuan","doi":"10.1016/j.measurement.2025.116935","DOIUrl":"10.1016/j.measurement.2025.116935","url":null,"abstract":"<div><div>There is currently no effective method to achieve in-situ monitoring of wear volume and contact temperature of water-lubricated bearings (WLBs), despite these being critical performance parameters. Self-sensing material is the potential key to solving the problem. Therefore, this study proposed a new method to achieve a triple-benefit solution by embedding polyimide/multi-walled carbon nanotube (MWCNT) nanofiber films in the WLBs. Wear and temperature were monitored simultaneously with the friction performance improvement of WLBs. The nanofiber films were manufactured by electrospinning and embedded in the hot pressing process, which greatly improved the friction performance of WLBs under harsh conditions and reduced the friction coefficient by about 40% at experimental conditions. Additionally, the embedded fiber film exhibited a strong correlation between resistance change and wear volume, demonstrating its potential for accurate wear monitoring. Finally, the high thermal conductivity of the fiber film facilitated an efficient heat conduction pathway, enhancing the response speed of abnormal temperature monitoring at the film by 72.7%. This study provides a new approach and technical basis for improving the performance of water-lubricated bearings and promoting the development of intelligent water-lubricated bearings.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116935"},"PeriodicalIF":5.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376696","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

Deep learning for surface crack detection in civil engineering: A comprehensive review

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-03 DOI: 10.1016/j.measurement.2025.116908

Haiyan Zhuang , Yikai Cheng , Man Zhou , Zhenjun Yang

{"title":"Deep learning for surface crack detection in civil engineering: A comprehensive review","authors":"Haiyan Zhuang , Yikai Cheng , Man Zhou , Zhenjun Yang","doi":"10.1016/j.measurement.2025.116908","DOIUrl":"10.1016/j.measurement.2025.116908","url":null,"abstract":"<div><div>Ensuring the safety of civil engineering structures requires the adoption of advanced crack detection techniques, with deep learning offering a highly effective solution to overcome the limitations of traditional manual inspection methods. This systematic review critically evaluates contemporary deep learning techniques for detecting surface cracks in civil structures, highlighting their applications and challenges. Beginning with an analysis of publicly available crack datasets and evaluation metrics, the study lays a foundation for advancing crack detection research. It then examines various deep learning approaches, including classification, recognition, and segmentation tasks. Special focus is given to applications in key civil engineering domains such as roads, bridges, and tunnels. Notably, the DCUFormer model achieved the highest average Intersection over Union (mIoU) of 0.821 and an F1-Score of 0.894 on the Crack500 dataset, positioning it as the most effective model for road structure crack detection to date. The review also explores persistent challenges, including dataset scarcity and imbalance, evaluation method standardization, accurate damage assessment, crack propagation prediction, and the integration of real-time, multi-source sensing systems with edge AI technologies. By providing a comprehensive overview of the state-of-the-art in deep learning for crack detection, this paper enhances the understanding of its capabilities and limitations, offering valuable insights for scholars and industry practitioners in this critical research area.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116908"},"PeriodicalIF":5.2,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378883","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

Pipeline deformation monitoring based on long-gauge fiber-optic sensing systems: Methods, experiments, and engineering applications

IF 5.2 2区工程技术

Measurement Pub Date : 2025-02-03 DOI: 10.1016/j.measurement.2025.116911

Zhen Sun , Xin Wang , Tianran Han , Huang Huang , Jian Ding , Longxiang Wang , Zhishen Wu

{"title":"Pipeline deformation monitoring based on long-gauge fiber-optic sensing systems: Methods, experiments, and engineering applications","authors":"Zhen Sun , Xin Wang , Tianran Han , Huang Huang , Jian Ding , Longxiang Wang , Zhishen Wu","doi":"10.1016/j.measurement.2025.116911","DOIUrl":"10.1016/j.measurement.2025.116911","url":null,"abstract":"<div><div>This study employed long-gauge fiber Bragg gratings (LG-FBG) and long-gauge Brillouin optical time-domain analysis (LG-BOTDA) sensing systems to monitor pipeline deformation. A two-stage analytical method was proposed to quantify pipeline deformation. The feasibility of this method was validated through full-scale pipeline loading tests, and a comparative analysis of the sensing results from LG-FBG, LG-BOTDA, and traditional BOTDA was conducted. Subsequently, the applicability of the LG-FBG sensing system in pipeline engineering was assessed. Results indicated that the strain measurement accuracy of the LG-FBG and LG-BOTDA systems under laboratory loading conditions outperformed that of the traditional BOTDA. The proposed two-stage pipeline deformation analysis method yielded measurement errors of 5.42 % for LG-FBG and 8.25 % for LG-BOTDA, which were notably better than the BOTDA’s 18.66 %. Furthermore, the LG-FBG sensing system achieved a monitoring survival ratio of 100 % in engineering applications, with a measurement error of less than 10.03 %, demonstrating its advantages in practical engineering.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"248 ","pages":"Article 116911"},"PeriodicalIF":5.2,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378881","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