Measurement最新文献_第10页

A diffusion model-based deep learning approach for denoising acoustic emission signals in concrete

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117143

Wei Fu, Ruohua Zhou, Yan Gao, Ziye Guo, Qiuyu Yu

{"title":"A diffusion model-based deep learning approach for denoising acoustic emission signals in concrete","authors":"Wei Fu, Ruohua Zhou, Yan Gao, Ziye Guo, Qiuyu Yu","doi":"10.1016/j.measurement.2025.117143","DOIUrl":"10.1016/j.measurement.2025.117143","url":null,"abstract":"<div><div>Accurately identifying acoustic emission (AE) signals in concrete is challenging due to material anisotropy and various noise sources like external vibrations and electromagnetic interference, leading to data misinterpretation and inaccuracies in damage detection. Effective noise filtering while preserving relevant AE signals is essential for reliable structural health monitoring (SHM). This study introduces a deep learning approach based on diffusion models, referred to as the acoustic emission denoising model (AEDM), to denoise AE signals in concrete. The proposed model utilizes a convolutional neural network (CNN) enhanced with attention mechanisms and a multi-scale convolutional structure. Additionally, the diffusion model is conditioned on noise observations, allowing the model to better learn and separate noise components from signals, thus effectively filtering out noise while retaining critical signal features necessary for accurate damage detection. Experimental results demonstrate that AEDM outperforms traditional denoising algorithms and other deep learning techniques in noise reduction and signal preservation. When the denoised data from AEDM is used to retrain the damage detection model, it achieves the most significant improvement in accuracy among all tested methods. Moreover, on-site experiments were conducted, and the results further validate the effectiveness of this approach in practical applications.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117143"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685232","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

Reconfigurable intelligent surface in underground mines radio localization: A review

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117312

Yujia Luo, Qingsong Hu, Liudi Wang, Yuanxun Cheng, Shiyin Li

{"title":"Reconfigurable intelligent surface in underground mines radio localization: A review","authors":"Yujia Luo, Qingsong Hu, Liudi Wang, Yuanxun Cheng, Shiyin Li","doi":"10.1016/j.measurement.2025.117312","DOIUrl":"10.1016/j.measurement.2025.117312","url":null,"abstract":"<div><div>Precision positioning systems are critical for reducing mining accidents and enhancing production efficiency. The unique constraints of underground mine environments pose significant challenges to traditional indoor positioning technologies, emphasizing the importance of developing new positioning solutions suitable for underground mines. Reconfigurable Intelligent Surfaces (RIS), an emerging 6G communication technology, have gained significant attention for their potential in positioning, offering a novel approach to underground mine localization. This paper focuses on RIS-assisted positioning within wireless communication systems, excluding discussions on radar-based sensing and other non-communication sensor applications. It provides a comprehensive survey of literature on RIS-assisted positioning, discussing its potential and challenges in various underground mining scenarios. First, we elaborate on the working principles and channel models of RIS, summarizing the key advantages that make RIS suitable for positioning. Next, we review and classify existing RIS positioning technologies. Finally, we analyze the challenges for RIS-assisted wireless positioning technologies in underground mines.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117312"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685229","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

Research on attention weighted enhanced defect recognition algorithm for photovoltaic panel

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117334

Qice Liang, Xinyu Zhang

{"title":"Research on attention weighted enhanced defect recognition algorithm for photovoltaic panel","authors":"Qice Liang, Xinyu Zhang","doi":"10.1016/j.measurement.2025.117334","DOIUrl":"10.1016/j.measurement.2025.117334","url":null,"abstract":"<div><div>Detecting defects on the surface of photovoltaic (PV) panels is crucial during both the production and operational phases, as surface structural damage is often indicative of potential issues within the internal structure. This paper presents a preliminary screening algorithm for photovoltaic panel defects using optical cameras, aiming for cost-effective and efficient detection. However, images captured by optical cameras face challenges such as small defect sizes and complex backgrounds. Therefore, the detection model needs strong capabilities in detecting small targets and effective feature extraction. Therefore, this paper propose a multipath feature-weighted fu-sion method based on YOLOv7 to enhance high-quality feature paths by leveraging the channel dimension sensitivity of the FCA module. The backbone and feature fusion structure of the original model is reconstructed. Additionally, to address the singularity in the fusion data of the medium-sized output tensor, long residual edges connecting the backbone are incorporated. Fi-nally, experiments conducted on two datasets demonstrate that the enhanced model outperforms YOLOv7, with improvements in [email protected] of 3% and 5.4%, respectively. Meanwhile, the en-hanced model exhibits superior robustness and better balance compared with other mainstream models.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117334"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685237","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

Sensor system with PDMS-embedded Fiber Bragg Gratings for measuring slug frequency in air–water flow

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117235

Fernando Velázquez-Carreón , Jonathan Hernández-García , G.E. Sandoval-Romero , Lizeth Torres , J.E.V. Guzmán , Arturo Palacio-Pérez

{"title":"Sensor system with PDMS-embedded Fiber Bragg Gratings for measuring slug frequency in air–water flow","authors":"Fernando Velázquez-Carreón , Jonathan Hernández-García , G.E. Sandoval-Romero , Lizeth Torres , J.E.V. Guzmán , Arturo Palacio-Pérez","doi":"10.1016/j.measurement.2025.117235","DOIUrl":"10.1016/j.measurement.2025.117235","url":null,"abstract":"<div><div>This paper introduces a novel method for measuring slug frequency in air–water flow within long horizontal pipes—a critical parameter for estimating pressure drop, liquid holdup, and heat transfer in the intermittent regime of two-phase flows. The proposed method is non-invasive, simple to manufacture, and seamlessly integrates into the monitored pipe. This method uses a sensor system consisting of two Fiber Bragg Grating (FBG) sensors embedded in polydimethylsiloxane (PDMS), integrated into a clamp that houses the sensors on opposite sides, with one positioned at the top and the other at the bottom. In addition, the method includes an algorithmic procedure that processes the wavelength data captured by these sensors to determine the slug frequency. Experiments were conducted in a laboratory flow loop to validate the effectiveness of the proposed method. The slug frequency estimations obtained using experimental data and the proposed method were compared against those derived from a conventional video-based technique. The results demonstrated good agreement, confirming the method’s reliability.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117235"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fatigue life prediction method based on Rayleigh model modified with spectral width coefficient for arbitrary bandwidth signals

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117317

Feng-Tian Shi , De-Guang Shang , Shao-Dong Wu , Guo-Cheng Hao , Chang Zhou , Jing-Xin Ma , Ze-Peng Ma

引用次数: 0

Weighted multi-innovation extended stochastic gradient identification for multivariable Hammerstein nonlinear systems based on multi-signal processing

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117256

Bensheng Lyu , Qiang Wang , Yanling Xu , Huajun Zhang , Chunbo Cai

{"title":"Weighted multi-innovation extended stochastic gradient identification for multivariable Hammerstein nonlinear systems based on multi-signal processing","authors":"Bensheng Lyu , Qiang Wang , Yanling Xu , Huajun Zhang , Chunbo Cai","doi":"10.1016/j.measurement.2025.117256","DOIUrl":"10.1016/j.measurement.2025.117256","url":null,"abstract":"<div><div>Multivariable Hammerstein nonlinear systems contain a sum of some bilinear parameter functions, which is hard to convert into a standard regressive form for processing. The identification system can be converted into two different regressive forms by using multiple sets of binary signals. By combining the multi-innovation theory with the weight matrix, a weighted multi-innovation extended stochastic gradient algorithm with a forgetting factor is presented to estimate the parameters of parallel nonlinear subsystems and a linear subsystem. The advantage of the proposed algorithm is that it achieves faster convergence rates and higher accurate estimates than hierarchical principle based extended stochastic gradient algorithm and over-parameterization based extended stochastic gradient algorithm. Examples of CSTR process and PV power generation system are provided respectively to demonstrate the feasibility of the identification algorithm. This indicates that the prediction accuracy of the proposed algorithm can be improved by weighting the innovation.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117256"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704173","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

ISTD-CrackNet: Hybrid CNN-transformer models focusing on fine-grained segmentation of multi-scale pavement cracks

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117215

Zaiyan Zhang , Yangyang Zhuang , Weidong Song , Jiachen Wu , Xin Ye , Hongyue Zhang , Yanli Xu , Guoli Shi

{"title":"ISTD-CrackNet: Hybrid CNN-transformer models focusing on fine-grained segmentation of multi-scale pavement cracks","authors":"Zaiyan Zhang , Yangyang Zhuang , Weidong Song , Jiachen Wu , Xin Ye , Hongyue Zhang , Yanli Xu , Guoli Shi","doi":"10.1016/j.measurement.2025.117215","DOIUrl":"10.1016/j.measurement.2025.117215","url":null,"abstract":"<div><div>Pavement crack detection is essential for the automated evaluation of pavement damage. In this context, we introduce ISTD-CrackNet, a semantic segmentation model based on a hierarchical Transformer architecture. This model features a multi-angle strip convolution module, a dynamic upsampling module, and a multi-scale transposed convolution segmentation head. The multi-angle strip convolution module is designed to establish long-range dependencies in four directions, ensuring the continuity of crack segmentation. An attention-guided dynamic upsampling module is employed to enhance the recognition accuracy of small cracks. Additionally, the multi-scale transposed convolutional segmentation head integrates shallow positional information with deeper categorical details to improve the fine-grained performance of crack edge segmentation. Compared to mainstream segmentation models, ISTD-CrackNet effectively addresses issues of segmentation discontinuities, low multi-scale accuracy, and boundary blurring. Experiments conducted on 5 publicly available datasets demonstrate its excellent generalization ability and robustness, highlighting its significant potential for intelligent pavement evaluation applications.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117215"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686021","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 approach to measure and deconstruct pavement deformation and texture in the wheel track

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117324

Hui Wang , Min Chi , Wenruo Fan , Xun Zhang , Zhoucong Xu , Yutao Li

{"title":"A novel approach to measure and deconstruct pavement deformation and texture in the wheel track","authors":"Hui Wang , Min Chi , Wenruo Fan , Xun Zhang , Zhoucong Xu , Yutao Li","doi":"10.1016/j.measurement.2025.117324","DOIUrl":"10.1016/j.measurement.2025.117324","url":null,"abstract":"<div><div>Conventional pavement evaluation methods struggle to resolve microscale texture degradation and early-stage deformations, leading to unreliable skid resistance assessment and premature maintenance interventions. This study proposed a hybrid spectral-spatial deconstruction method including three processes: planar inclination correction to eliminate geometric bias in raw three-dimensional laser-scanned data, frequency-domain decomposition to isolate deformation (low-frequency) and texture (high-frequency) components, and bidirectional second-order polynomial fitting with directional regularization data for deformation surface reconstruction. The framework established four deformation indices: absolute/relative maximum depth deviation, deformation-affected area, and rut width limit. Seven in-service roads with gradient wear and rutting were detected to validate the tilt calibration, spectral filtering, and bi-directional fitting of the individual processing steps, demonstrating the efficacy of the proposed method. It was proved that the rut depth metrics proposed can effectively characterize rut geometry across asymmetric deformation scenarios. Mean texture depth stability was significantly enhanced through the proposed workflow under mild deformation. This methodology redefines deformation-texture analysis paradigms, offering a critical tool for pavement condition monitoring. While preliminary results validate the method’s effectiveness, extended field trials are warranted for broader generalization.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117324"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686026","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

Bioimpedance spectroscopy for lung cancer diagnosis based on Hippopotamus algorithm with Enhanced exploitation capability (EEC-HA)

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-17 DOI: 10.1016/j.measurement.2025.117319

Bin Zou , Songpei Hu , Yang Wu , Bo Sun , Hang Tian , Kai Liu , Jiafeng Yao , Minhong Pan

{"title":"Bioimpedance spectroscopy for lung cancer diagnosis based on Hippopotamus algorithm with Enhanced exploitation capability (EEC-HA)","authors":"Bin Zou , Songpei Hu , Yang Wu , Bo Sun , Hang Tian , Kai Liu , Jiafeng Yao , Minhong Pan","doi":"10.1016/j.measurement.2025.117319","DOIUrl":"10.1016/j.measurement.2025.117319","url":null,"abstract":"<div><div>A Hippopotamus Algorithm with Enhanced Exploitation Capability (EEC-HA) is proposed in this study to improve the diagnostic capability of Bioimpedance Spectroscopy (BIS) for lung cancer. Firstly, an EEC-HA algorithm is developed to fit the equivalent circuit resistance <em>R<sub>P</sub></em> by combining the hippopotamus exploration strategy and multi-dimensional exploitation strategy. Secondly, the Distribution of Relaxation-Time based on Gaussian Discretization (GDRT) is applied to analyze the relaxation peak <em>γ<sub>peak</sub></em> of the tissues. Thirdly, 39 samples each of lung cancer and normal tissues are collected. Then, the significant differences of <em>R<sub>P</sub></em> and <em>γ<sub>peak</sub></em> are statistically analyzed with AUC (Area Under Curve) of 0.863 and 0.814, respectively. Multivariate analysis is performed to establish regression equations <span><math><mrow><mrow><mtext>RF = 0.3689</mtext></mrow><msub><mi>R</mi><mi>P</mi></msub><mrow><mspace></mspace><mtext>+ 0.9295</mtext></mrow><msub><mi>γ</mi><mrow><mi>peak</mi></mrow></msub></mrow></math></span> by combining the above two parameters. Finally, pathological tissue experiments verified the performance of EEC-HA. The linear correlation <em>R<sup>2</sup></em> of EEC-HA is improved by 3.4% and 2%, with the average fitting error reduced by 69.2% and 46.3% compared with the Whale Optimization Algorithm and Hippopotamus Algorithm, respectively. The AUC of the regression coefficient <em>RF</em> is 0.913, with a cut-off value of 787.04, and the sensitivity and specificity are 0.897 and 0.897, respectively. Therefore, the proposed BIS method combining EEC-HA and GDRT is effective in lung cancer diagnosis, which is expected to be applied to intraoperative detection in the future.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117319"},"PeriodicalIF":5.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686030","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

Deformation measurement of mesh-hole structure based on digital image correlation

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-16 DOI: 10.1016/j.measurement.2025.117301

Boxing Qian , Yu Wang , Wei Shao , Youzhuo Li , Xuan Wei

{"title":"Deformation measurement of mesh-hole structure based on digital image correlation","authors":"Boxing Qian , Yu Wang , Wei Shao , Youzhuo Li , Xuan Wei","doi":"10.1016/j.measurement.2025.117301","DOIUrl":"10.1016/j.measurement.2025.117301","url":null,"abstract":"<div><div>The mechanical properties of structures after lightweight design should be taken seriously. However, after optimization, it is often difficult to measure its mechanical properties due to the complex structures of mesh-hole. Based on digital image correlation (DIC) and binocular stereo vision, a full-field deformation measurement method for the surface of mesh-hole structures under stress is proposed. Firstly, by utilizing the grayscale information entropy of the foreground and background, the speckle calculation region on the reference image is automatically extracted. It avoids ineffective calculation of non-measured areas. Secondly, for the complex deformation of structure with holes, two second-order deformation parameters are introduced to describe the grayscale mapping between the reference subset and the deformed subset. The corresponding correlation matching algorithm is also improved. Thus, it ensures computational efficiency while enhancing matching accuracy. Finally, the mesh-hole structure is printed with polylactic acid (PLA) material, and its compression deformation is measured. The results indicate that the method proposed can be used for rapid tests of the mechanical properties of lightweight structures.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117301"},"PeriodicalIF":5.2,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685225","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