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A displacement-based method for measuring acoustic radiation force exerted by 100-MHz ultrasound on Mie-regime objects 一种基于位移的测量100-MHz超声对Mie-regime物体施加声辐射力的方法
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-10-13 DOI: 10.1016/j.measurement.2026.123559
Jinzhe Wu, Yixiao Xia, Peng Yu, Xin Wang, Huiyao Shi, Chanmin Su, Chunlong Fei, Lianqing Liu
{"title":"A displacement-based method for measuring acoustic radiation force exerted by 100-MHz ultrasound on Mie-regime objects","authors":"Jinzhe Wu,&nbsp;Yixiao Xia,&nbsp;Peng Yu,&nbsp;Xin Wang,&nbsp;Huiyao Shi,&nbsp;Chanmin Su,&nbsp;Chunlong Fei,&nbsp;Lianqing Liu","doi":"10.1016/j.measurement.2026.123559","DOIUrl":"10.1016/j.measurement.2026.123559","url":null,"abstract":"<div><div>Quantitative measurement of acoustic radiation force (ARF) exerted by ultra-high-frequency (UHF, ≥100 MHz) ultrasound remains challenging for individual microscale objects in the Mie scattering regime, where the force varies non-monotonically with object size and is difficult to predict from theory alone. Existing approaches remain limited in measuring ARF on individual microscale objects at this frequency and size scale, particularly when object localization and acoustic streaming must be considered. Here, we propose a displacement-based method using a compliant microscale mechanical transducer. A model Mie-regime SiO<sub>2</sub> microsphere is encapsulated within a gelatin methacryloyl (GelMA) microsphere, which converts ARF into measurable relative displacement. The mechanical properties of GelMA are independently measured by atomic force microscopy and incorporated into a mechanical model to reconstruct ARF from the measured displacement. The solid porous matrix of GelMA reduces internal fluid motion and mitigates the bias of acoustic-streaming-induced drag on the SiO<sub>2</sub> microsphere. The method is applied to SiO<sub>2</sub> microspheres with three different diameters in the Mie regime under 100-MHz ultrasound. The reconstructed time-averaged ARF reaches tens of nanonewtons, corresponding to an ARF amplitude during the acoustic-on interval at the micronewton level. The displacement-tracking limit corresponds to a nominal time-averaged force resolution on the order of hundreds of piconewtons, and repeated measurements yield an average relative standard deviation of 9.7%. Finite element analysis is further conducted, showing consistency with experimentally measured ARF trends. The proposed method offers a practical approach for quantifying ARF in UHF acoustic actuation.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"292 ","pages":"Article 123559"},"PeriodicalIF":6.1,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149212729","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
Physics-informed disentangled network for unknown fault detection of industrial equipment under variable operating conditions 用于工业设备可变工况下未知故障检测的物理信息解纠缠网络
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-10-13 DOI: 10.1016/j.measurement.2026.123564
Xiaoxuan Fan, Lixiang Duan, Na Zhang, Mingyu Shen
{"title":"Physics-informed disentangled network for unknown fault detection of industrial equipment under variable operating conditions","authors":"Xiaoxuan Fan,&nbsp;Lixiang Duan,&nbsp;Na Zhang,&nbsp;Mingyu Shen","doi":"10.1016/j.measurement.2026.123564","DOIUrl":"10.1016/j.measurement.2026.123564","url":null,"abstract":"<div><div>Vibration signals of industrial equipment are often collected under variable operating conditions, leading to complex domain discrepancy that involves both covariate shift and label-space shift, which constitutes a Universal Domain Adaptation (UniDA) problem. In UniDA, accurate detection of unknown samples is the core challenge. However, many existing UniDA methods rely on feature representations learned directly from raw signals, where marginal distribution variations and fault-discriminative characteristics are highly entangled, resulting in degraded feature alignment and unreliable unknown identification. To address these issues, a Physics-Informed Disentangled Network (PIDN) is proposed, which leverages the excitation–transfer correspondence in vibration responses to learn representations with different sensitivities to different shifts. First, based on cepstral analysis, a Physical Decoupling Layer (PDL) is designed to decompose the measured response into two components: transfer-related features and excitation-related features. Building upon this, a Transfer Manifold Augmentation (TMA) mechanism is developed to generate similarity-adaptive intermediate representations within the transfer-related feature space, thereby facilitating unknown fault detection. Simultaneously, an Excitation Consistency Constraint (ECC) loss is formulated to suppress condition-induced variability in excitation-related features by enforcing consistent energy distribution patterns across operating conditions. Experimental results on two datasets show that the proposed method achieves the highest average performance among the compared methods in both shared-class classification and unknown fault detection, demonstrating its effectiveness for intelligent fault diagnosis under variable operating conditions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"292 ","pages":"Article 123564"},"PeriodicalIF":6.1,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149212727","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
Admittance-spectrum-based dual-resonance feature prediction and target-oriented design of annular piezoelectric ceramics for conducted EMI suppression 基于导纳-频谱的环形压电陶瓷传导电磁干扰双共振特征预测与目标导向设计
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-09-16 DOI: 10.1016/j.measurement.2026.123214
Jiahao Wen, Mengxia Zhou, Wei Yan, Hanqing Duan, Xinyi Liu, Shuo Dong, Yu Wang
{"title":"Admittance-spectrum-based dual-resonance feature prediction and target-oriented design of annular piezoelectric ceramics for conducted EMI suppression","authors":"Jiahao Wen,&nbsp;Mengxia Zhou,&nbsp;Wei Yan,&nbsp;Hanqing Duan,&nbsp;Xinyi Liu,&nbsp;Shuo Dong,&nbsp;Yu Wang","doi":"10.1016/j.measurement.2026.123214","DOIUrl":"10.1016/j.measurement.2026.123214","url":null,"abstract":"<div><div>The capacitance of Y capacitors is limited by leakage-current requirements, whereas high-inductance common-mode chokes (CMCs) increase filter mass and volume. This study develops a measurement-informed closed-loop framework linking measured conducted electromagnetic interference (EMI) targets to dual-resonance prediction, inverse geometry design, commercial-size mapping, and experimental validation of annular lead zirconate titanate (PZT) ceramics. A full-factorial finite-element method (FEM) dataset of 1232 geometries was used to model the first two resonance frequencies and peak admittances using six surrogates under strict nested fivefold cross-validation. An output-specific ensemble of least-squares boosting (LSBoost) and a multilayer perceptron (MLP) achieved pooled mean absolute percentage errors of 0.161%, 0.464%, 0.326%, and 1.292% for <em>f</em><sub>1</sub>, <em>Y</em><sub>1</sub>, <em>f</em><sub>2</sub>, and <em>Y</em><sub>2</sub>, respectively. For measured targets at 162 and 486 kHz, particle swarm optimization identified an inverse-design solution that was mapped to a commercial PZT ring of 4.50/1.50/2.00 mm (outer radius/inner radius/thickness). Independent FEM and admittance measurements yielded resonance-frequency errors of 0.28% and 0.29%, with peak-admittance discrepancies of 12.76% and 9.65%. Without an external CMC, the PZT ring provided 1.45 and 1.35 dB greater attenuation than a 680-pF Y capacitor at the target frequencies; two additional nominally identical rings showed the same advantage. In complete-filter tests, the 2.2-mH CMC–PZT configuration provided 2.81 and 5.14 dB greater attenuation than the 20-mH CMC–Y-capacitor reference. Because the CMC values differed, these are configuration-level results; for the implemented passive-component sets, the PZT-assisted set was 73.6% lighter and had a 61.8% smaller estimated volume.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"291 ","pages":"Article 123214"},"PeriodicalIF":6.1,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148999633","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
Rational experimental-computational correlation analysis of cross-sectioning methods for residual stress evaluation 残余应力评估截面法的合理实验-计算相关性分析
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-09-15 DOI: 10.1016/j.measurement.2026.123202
Igor A. Zorin, Konstantin S. Korobov, Alexander A. Frantsuzov, Andrey I. Shtypel, Iuliia A. Sadykova, Eugene S. Statnik, Alexey I. Salimon, Alexander M. Korsunsky
{"title":"Rational experimental-computational correlation analysis of cross-sectioning methods for residual stress evaluation","authors":"Igor A. Zorin,&nbsp;Konstantin S. Korobov,&nbsp;Alexander A. Frantsuzov,&nbsp;Andrey I. Shtypel,&nbsp;Iuliia A. Sadykova,&nbsp;Eugene S. Statnik,&nbsp;Alexey I. Salimon,&nbsp;Alexander M. Korsunsky","doi":"10.1016/j.measurement.2026.123202","DOIUrl":"10.1016/j.measurement.2026.123202","url":null,"abstract":"<div><div>In residual stress evaluation, the fidelity of experimental data is often assumed to be sufficient for further analysis, while its reliability and stability are rarely quantified. This study presents a systematic assessment of the accuracy and noise sensitivity of sectioning-based methods, focusing on residual stresses induced by double-sided dimpling (DSD). A combined experimental–computational framework is developed, integrating a direct finite element simulation of the deformation and cutting process with an inverse solution based on the Contour Method. The latter reconstructs residual stresses from measured displacement fields using an auxiliary finite element model. Experimental validation is performed using confocal profilometry, X-ray diffraction, and FIB-DIC. A numerical experiment is conducted to evaluate the influence of noise in displacement data on the reconstructed stress fields. The results show that the Contour Method remains stable at low noise levels (5–10%), while higher noise levels lead to rapid degradation of the solution. For a representative 10% noise level, the reconstruction error is on the order of 40 MPa, corresponding to a displacement uncertainty of approximately 2.3 μm. To improve stability, a surrogate–rational experimental–computational correlation (surrogate-RECC) approach is introduced. By approximating displacement profiles with a Gaussian function and quadratic background, the method filters noise and reduces the effective error to about 5–6 MPa (≈0.35 μm), representing an improvement by a factor of 6–7. The proposed framework enables quantitative uncertainty estimation for the Contour Method and provides a practical route for improving robustness in residual stress analysis.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"291 ","pages":"Article 123202"},"PeriodicalIF":6.1,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148999594","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
Mini-BLC-assisted RF energy harvesting for battery-free wayside rail monitoring mini - blc辅助射频能量收集,用于无电池路旁轨道监测
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-09-15 DOI: 10.1016/j.measurement.2026.123199
Yuanyi Wang, Pengyu Li, Zhihe Long, Qiqi Pan, Zixuan Li, Weiqun Liu, Junjun Ding, Jianjun Wu, Yongshen Gao, Zhengbao Yang
{"title":"Mini-BLC-assisted RF energy harvesting for battery-free wayside rail monitoring","authors":"Yuanyi Wang,&nbsp;Pengyu Li,&nbsp;Zhihe Long,&nbsp;Qiqi Pan,&nbsp;Zixuan Li,&nbsp;Weiqun Liu,&nbsp;Junjun Ding,&nbsp;Jianjun Wu,&nbsp;Yongshen Gao,&nbsp;Zhengbao Yang","doi":"10.1016/j.measurement.2026.123199","DOIUrl":"10.1016/j.measurement.2026.123199","url":null,"abstract":"<div><div>Battery-free wayside sensing powered by train-mounted radio-frequency (RF) transmitters is constrained by the short and time-varying power-transfer window created as a train passes a sensor node. This study presents a 915-MHz RF energy harvester based on a miniaturized branch-line coupler (Mini-BLC) for a wireless sensor node. A π-equivalent meandered network reduces the Mini-BLC footprint to 26 mm × 21 mm, corresponding to an approximately 80% reduction in coupler area relative to the fabricated conventional design. The Mini-BLC is integrated with two four-stage voltage multipliers and the node’s power-management stage, and the resulting harvesting topology is characterized across the tested RF input-power range under fixed resistive-load conditions. Experimental results demonstrate a maximum energy conversion efficiency of 35% at 6 dBm. A scaled laboratory rail demonstrator shows threshold-triggered charge–measure–transmit operation for temperature and acceleration data. These results establish the feasibility of the compact coupler-assisted architecture.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"291 ","pages":"Article 123199"},"PeriodicalIF":6.1,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148999593","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
Electron number density diagnostics of laser-ablated brass plasma in vacuum using laser absorption 激光吸收法诊断真空中激光烧蚀黄铜等离子体的电子数密度
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-09-14 DOI: 10.1016/j.measurement.2026.123190
Kyunho Kim, Kiyoung Seong, Moon Soo Bak
{"title":"Electron number density diagnostics of laser-ablated brass plasma in vacuum using laser absorption","authors":"Kyunho Kim,&nbsp;Kiyoung Seong,&nbsp;Moon Soo Bak","doi":"10.1016/j.measurement.2026.123190","DOIUrl":"10.1016/j.measurement.2026.123190","url":null,"abstract":"<div><div>Accurate diagnosis of plasmas with electron number densities above 10<sup>19</sup> cm<sup>−</sup>3 remains challenging because intrusive probes perturb or fail in dense transients, while emission-based diagnostics are often obscured by early-time continuum radiation. In this study, we demonstrate a non-invasive laser-absorption diagnostic capable of resolving the spatiotemporal electron density distribution in high-density laser-ablation plasmas (LAPs) under vacuum (∼1 Torr). High-density plasmas were generated from a brass target using a pulsed Nd:YAG laser, and a continuous-wave (CW) probe beam passed through the expanding plasma along multiple lines of sight. The path-integrated absorbance signals were converted into radial absorption-coefficient profiles via tomographic reconstruction, from which electron density distributions were derived. The reconstructed electron density profiles reveal peak central electron densities exceeding 10<sup>19</sup> cm<sup>−3</sup> within tens of nanoseconds, together with pronounced radial gradients during plasma expansion. Furthermore, to assess the feasibility of the proposed technique as a real-time monitoring tool, single line-of-sight measurements were performed while varying the laser pulse energy under identical conditions, clearly resolving the resulting variations in electron density. Its non-invasive operation under high-density, rapidly evolving conditions makes it suitable for real-time monitoring of high-density plasma processes, including laser-driven processes relevant to semiconductor manufacturing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"291 ","pages":"Article 123190"},"PeriodicalIF":6.1,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148999592","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
Corrigendum to “Dual-array FBG nested-tube sensor for settlement deformation monitoring: experimental study under fill thickness gradients and machine learning verification” [Measurement 281 (2026) 121961] “用于沉降变形监测的双阵列FBG嵌套管传感器:填充厚度梯度和机器学习验证的实验研究”的勘误表[Measurement 281 (2026) 121961]
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-09-01 Epub Date: 2026-08-18 DOI: 10.1016/j.measurement.2026.122821
Guo Wei, Xingbin Jiang, Lintao Gong, Shoupeng Zhang, Haoming Yan, Binglin Li, Peng Chen, Zejia Zhao, Yongming Fu, Dandan Sun, Jie Ma
{"title":"Corrigendum to “Dual-array FBG nested-tube sensor for settlement deformation monitoring: experimental study under fill thickness gradients and machine learning verification” [Measurement 281 (2026) 121961]","authors":"Guo Wei,&nbsp;Xingbin Jiang,&nbsp;Lintao Gong,&nbsp;Shoupeng Zhang,&nbsp;Haoming Yan,&nbsp;Binglin Li,&nbsp;Peng Chen,&nbsp;Zejia Zhao,&nbsp;Yongming Fu,&nbsp;Dandan Sun,&nbsp;Jie Ma","doi":"10.1016/j.measurement.2026.122821","DOIUrl":"10.1016/j.measurement.2026.122821","url":null,"abstract":"","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"285 ","pages":"Article 122821"},"PeriodicalIF":6.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148854368","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
Retraction notice to “Robot based transurethral bladder tumor resection with automatic detection of tumor cells” [Measurement 206 (2023) 112079] 关于“基于机器人的经尿道膀胱肿瘤自动检测切除”的撤回通知[计量206 (2023)112079]
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-08-15 Epub Date: 2026-08-12 DOI: 10.1016/j.measurement.2026.122802
Vicente García Díaz, R.Dinesh Jackson Samuel, Adhiyaman Manickam, Vijayalakshmi Saravanan, Ashish Kr. Luhach, Sujatha Krishnamoorthy
{"title":"Retraction notice to “Robot based transurethral bladder tumor resection with automatic detection of tumor cells” [Measurement 206 (2023) 112079]","authors":"Vicente García Díaz,&nbsp;R.Dinesh Jackson Samuel,&nbsp;Adhiyaman Manickam,&nbsp;Vijayalakshmi Saravanan,&nbsp;Ashish Kr. Luhach,&nbsp;Sujatha Krishnamoorthy","doi":"10.1016/j.measurement.2026.122802","DOIUrl":"10.1016/j.measurement.2026.122802","url":null,"abstract":"","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"284 ","pages":"Article 122802"},"PeriodicalIF":6.1,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148770079","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
Corrigendum to “Multi-level spatial-temporal disaggregation-based multi-modal fusion for corrosion-induced localized degradation assessment of magnesium alloy” [Measurement 278 (2026) 121323] “基于多级时空分解的镁合金腐蚀诱发局部退化评估的多模态融合”[测量278(2026)121323]的勘误表
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-08-01 Epub Date: 2026-06-07 DOI: 10.1016/j.measurement.2026.122027
Xuxue Sun, Hao Zeng, Wujun Si, Wenjun Cai, Ying Li, Mingyang Li
{"title":"Corrigendum to “Multi-level spatial-temporal disaggregation-based multi-modal fusion for corrosion-induced localized degradation assessment of magnesium alloy” [Measurement 278 (2026) 121323]","authors":"Xuxue Sun,&nbsp;Hao Zeng,&nbsp;Wujun Si,&nbsp;Wenjun Cai,&nbsp;Ying Li,&nbsp;Mingyang Li","doi":"10.1016/j.measurement.2026.122027","DOIUrl":"10.1016/j.measurement.2026.122027","url":null,"abstract":"","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"283 ","pages":"Article 122027"},"PeriodicalIF":6.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148735785","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
BR-DETR: a lightweight real-time detector for multi-scale concrete bridge defect inspection from UAV imagery 基于无人机图像的多尺度混凝土桥梁缺陷检测的轻量化实时检测器BR-DETR
IF 6.1 2区 工程技术
Measurement Pub Date : 2026-08-01 Epub Date: 2026-07-11 DOI: 10.1016/j.measurement.2026.122549
Shuai Zhang, Qi Chen
{"title":"BR-DETR: a lightweight real-time detector for multi-scale concrete bridge defect inspection from UAV imagery","authors":"Shuai Zhang,&nbsp;Qi Chen","doi":"10.1016/j.measurement.2026.122549","DOIUrl":"10.1016/j.measurement.2026.122549","url":null,"abstract":"<div><div>Accurate quantification of concrete bridge defects, including category classification, spatial localization, and geometric measurement, is fundamental to structural health monitoring, since condition assessment relies directly on the localization and dimensional accuracy of the detection system. Unmanned aerial vehicle (UAV) inspection offers a promising acquisition modality, but deploying deep-learning detectors on edge devices faces three challenges: defect morphological diversity, limited resolution of small-scale damage, and constrained onboard computation. This paper proposes BR-DETR, a lightweight variant of RT-DETR-R18 with three task-specific components. The C2f-DIMB backbone employs dynamic multi-branch depthwise convolutions with heterogeneous kernel geometries to adapt the receptive field to diverse defect morphologies while reducing backbone parameters. The Multi-Scale Small Defect Enhanced Pyramid (MSDEP) injects fine-grained P2-level information into the feature pyramid to improve small-defect sensitivity without adding a detection head. The AIFI-HiLo encoder decomposes self-attention into frequency-specialized branches for high-frequency boundaries and low-frequency structural context. On a five-class dataset of 8,924 images, BR-DETR attains 72.51% mAP50 and 54.36% mAP50-95, improving over RT-DETR-R18 by 4.67 and 5.67 percentage points while reducing parameters by 31.9% to 13.54 M and GFLOPs by 8.6%. Considered as a measurement instrument, it reduces the mean center localization error from 6.83 px to 4.92 px (−28.0%) and raises the share of high-quality detections (IoU ≥ 0.75) from 52.3% to 61.8%. Deployed on an NVIDIA Jetson Xavier NX, it achieves 46 FPS with 21.7 ± 1.2 ms latency and a memory footprint below 700 MB, providing a practical tool for real-time, quantitative UAV-based bridge condition assessment.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"283 ","pages":"Article 122549"},"PeriodicalIF":6.1,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148735784","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
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