Measurement最新文献

英文中文

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 Q1 ENGINEERING, MULTIDISCIPLINARY

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

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 Q1 ENGINEERING, MULTIDISCIPLINARY

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

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 Q1 ENGINEERING, MULTIDISCIPLINARY

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

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 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2026-08-01 Epub Date: 2026-07-11 DOI: 10.1016/j.measurement.2026.122549

Shuai Zhang, Qi Chen

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.

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引用次数: 0

Corrigendum to “Improved multi-order Vold-Kalman filter for order tracking analysis using split cosine and sine terms” [Measurement 224 (2024) 113901] “使用分割余弦和正弦项进行订单跟踪分析的改进多阶沃尔德-卡尔曼滤波器”的更正[测量224 (2024)113901]

IF 6.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2026-08-01 Epub Date: 2026-07-23 DOI: 10.1016/j.measurement.2026.122608

Jaafar Alsalaet

引用次数: 0

A non-invasive measurement-based modeling for assessing power transformer aging and reliability 基于非侵入性测量的电力变压器老化和可靠性评估模型

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2026-05-05 Epub Date: 2026-02-28 DOI: 10.1016/j.measurement.2026.120968

D. Mishra , V. Chopra , D. Mishra , A. Baral

A non-invasive and quantitative methodology for assessing the health of oil–paper insulation in power transformers is presented in this paper. Paper moisture (moisture in cellulosic part of insulation) (pm) and dissipation factor (tan δ) are widely recognized as critical indicators of insulation aging and overall system reliability, yet their accurate determination often requires intrusive or time-consuming procedures. To overcome these limitations, this work introduces an Aging Factor (A_F), computed directly from the complete depolarization current profile by estimating the branch parameters of a Debye-based insulation model and evaluating the ratio of charge contributions associated with the two branches having the largest time constants. This approach utilizes the full dielectric relaxation behaviour of the insulation without relying on extensive curve fitting or lengthy frequency-domain measurements. The method was validated using ten laboratory-prepared oil-impregnated insulation samples and subsequently applied to ten in-service power transformers. The AF showed strong correlation with both %pm and %tan δ, enabling their prediction with accuracies of 2.47% and 5.0%, respectively, with all deviations confined within ± 5%. By providing a robust, non-invasive, and time-efficient means to estimate key insulation-health indicators, the proposed AF-based technique supports condition-based maintenance and enhances diagnostic reliability for power transformer insulation systems.

本文提出了一种非侵入性的、定量的电力变压器油纸绝缘健康评估方法。纸张水分（绝缘纤维部分的水分）（pm）和耗散系数（tan δ）被广泛认为是绝缘老化和整个系统可靠性的关键指标，但它们的准确测定通常需要侵入性或耗时的过程。为了克服这些限制，本工作引入了老化因子（AF），通过估计基于debye的绝缘模型的支路参数并评估与具有最大时间常数的两个支路相关的电荷贡献比，直接从完整的去极化电流剖面计算。这种方法利用绝缘的完全介电弛豫行为，而不依赖于广泛的曲线拟合或冗长的频域测量。用10个实验室制备的油浸绝缘样品对该方法进行了验证，并应用于10台在役电力变压器。AF与%pm和%tan δ均表现出较强的相关性，预测精度分别为2.47%和5.0%，所有偏差限制在±5%以内。通过提供一种强大的、非侵入性的、省时的方法来估计关键的绝缘健康指标，所提出的基于af的技术支持基于状态的维护，并提高了电力变压器绝缘系统的诊断可靠性。

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引用次数: 0

Assessment of effective prestress in simply supported prestressedconcrete beams using the single-groove method 用单槽法评估简支预应力混凝土梁的有效预应力

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2026-05-05 Epub Date: 2026-03-03 DOI: 10.1016/j.measurement.2026.121034

Ying Gu , Min Tu , Tingyong Liu , Songbo Ren , Chao Kong

Accurate evaluation of the effective prestress in existing prestressed concrete (PC) structures is crucial for assessing their in-service performance. This study presents an improved stress release technique, the single-groove method, for measuring the effective prestress in PC simply supported beams. The method involves cutting a shallow arc-shaped groove (depth < 35 mm) on the concrete surface and determining the stress from the released strain. Experimental validation was conducted on two PC beams. The results demonstrated a monotonic relationship between the stress on the top slab and the effective prestress, providing the theoretical basis for the method. A comparative analysis showed a close agreement between the stresses obtained from the single-groove method and the benchmark stresses, with a maximum absolute deviation of 0.29 MPa and relative deviations below 7.5%. Compared to traditional deep-cutting methods requiring grooves of 50 mm or more, the single-groove method significantly reduces damage to the concrete structure. The study confirms that the single-groove method is a reliable technique for evaluating effective prestress in simply supported beams. The applicability of the method to continuous beams remains a subject for future investigation.

准确评估现有预应力混凝土结构的有效预应力对于评估其使用性能至关重要。本文提出了一种改进的应力释放技术——单槽法，用于测量PC简支梁的有效预应力。该方法包括在混凝土表面切割一个浅弧形槽（深度<； 35mm），并从释放应变中确定应力。在两根PC梁上进行了实验验证。结果表明，顶板应力与有效预应力之间存在单调关系，为该方法提供了理论依据。对比分析表明，单槽法得到的应力值与基准应力值吻合较好，最大绝对偏差为0.29 MPa，相对偏差小于7.5%。与传统需要50mm或更多凹槽的深切割方法相比，单凹槽方法显着减少了对混凝土结构的破坏。研究结果表明，单槽法是计算简支梁有效预应力的可靠方法。该方法对连续梁的适用性有待进一步研究。

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引用次数: 0

High-precision pure vision horizontal attitude measurement method for UAVs 无人机高精度纯视觉水平姿态测量方法

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2026-05-05 Epub Date: 2026-03-03 DOI: 10.1016/j.measurement.2026.121032

Xiaochen Liu , Meng Yuan , Huijun Zhao , Chong Shen , Chenguang Wang

In the field of visual attitude estimation for unmanned aerial vehicles, precise and reliable horizontal pitch/roll angle measurement is crucial for applications such as autonomous navigation, environmental monitoring, and search-and-rescue missions. However, relying on a single visual information often results in susceptibility to interference and limited accuracy. To address these challenges, we propose the cascaded spatiotemporal fusion attitude estimation architecture. Initial pitch/roll angle estimates are independently obtained through horizon detection and optical flow estimation. Subsequently, a forward–backward optical flow optimization algorithm based on gradient descent is proposed to address the problem of degraded accuracy in conventional optical flow at object boundaries. Finally, in light of the disparities in the noise characteristics of the two types of observation data, an adaptive sequential Kalman filtering algorithm is proposed. This algorithm incorporates a two-stage updating mechanism and dynamically adjusts the measurement noise covariance matrix through an adaptive factor to efficiently fuse the results of horizon and optical flow. The experimental results demonstrate that the suggested method significantly enhances the accuracy of pitch/roll angle measurements compared to the single horizon or optical flow methods and meets the requirements for the stability and reliability criteria for vision-based UAV attitude estimation.

在无人机视觉姿态估计领域，精确可靠的水平俯仰/滚转角测量对于自主导航、环境监测和搜救任务等应用至关重要。然而，依赖于单一的视觉信息往往导致易受干扰和有限的准确性。为了解决这些问题，我们提出了级联时空融合姿态估计体系结构。通过水平检测和光流估计分别获得初始俯仰/滚转角估计。随后，针对传统光流在目标边界处精度下降的问题，提出了一种基于梯度下降的前向后光流优化算法。最后，针对两类观测数据噪声特性的差异，提出了一种自适应序列卡尔曼滤波算法。该算法采用两阶段更新机制，通过自适应因子动态调整测量噪声协方差矩阵，有效地融合了水平光流结果。实验结果表明，与单一水平或光流方法相比，该方法显著提高了俯仰/滚转角测量的精度，满足了基于视觉的无人机姿态估计的稳定性和可靠性要求。

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引用次数: 0

MMC: GNSS-based high-precision clock generation and holdover system with MRAC control and MLP aging prediction MMC：基于gnss的高精度时钟生成和保持系统，具有MRAC控制和MLP老化预测

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2026-05-05 Epub Date: 2026-03-06 DOI: 10.1016/j.measurement.2026.121075

Zhuang Cao, Kai Li, Sheng Liu, Xiantuo Tang

Modern electronic systems impose strict requirements on clock accuracy and stability. To address this, this paper proposes a high-precision clock generation and retention method based on GNSS timing and all-digital control logic. Taking GNSS second pulse (1PPS) as a high-precision reference, a fully digital closed-loop control system based on heterogeneous computing platforms was constructed to achieve highly integrated hardware and flexible deployment of algorithms. In the control strategy, a Model Reference Adaptive Control (MRAC) algorithm was designed to estimate and compensate the nonlinear and time-varying characteristics of OCXO tuning sensitivity in real time, thereby enhancing the frequency control accuracy. In view of the loss of external reference time, a semi-parametric aging prediction model combining physical prior and lightweight Multilayer Perceptron (MLP) was used to actively predict the frequency drift and compensate the voltage, so as to prolong the high-precision retention time of the clock. Experimental results show that the proposed system can improve the long-term stability of the OCXO output clock to the order of

1 0^{- 13}

, and maintain the clock accuracy in the sub-ppb (part per billion) accuracy range for several hours after GNSS loss, which effectively enhances the reliability and adaptability of the clock system under the GNSS signal interruption. This study provides an integrated and intelligent solution for the design of high-precision clock sources, which is suitable for application scenarios with stringent time synchronization requirements in communication, navigation, finance and other fields.

现代电子系统对时钟的精度和稳定性提出了严格的要求。为了解决这个问题，本文提出了一种基于GNSS定时和全数字控制逻辑的高精度时钟生成和保持方法。以GNSS秒脉冲（1PPS）为高精度参考，构建基于异构计算平台的全数字闭环控制系统，实现硬件高度集成和算法灵活部署。在控制策略中，设计了模型参考自适应控制（MRAC）算法，实时估计和补偿OCXO调谐灵敏度的非线性和时变特性，从而提高频率控制精度。针对外部参考时间的损失，采用物理先验和轻量级多层感知器（MLP）相结合的半参数老化预测模型，主动预测频率漂移和补偿电压，延长时钟的高精度保持时间。实验结果表明，该系统可将OCXO输出时钟的长期稳定性提高到10−13数量级，并在GNSS信号丢失后数小时内将时钟精度保持在亚ppb（十亿分之一）精度范围内，有效增强了时钟系统在GNSS信号中断下的可靠性和适应性。本研究为高精度时钟源的设计提供了一体化、智能化的解决方案，适用于通信、导航、金融等领域对时间同步要求严格的应用场景。

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引用次数: 0

A novel evaluation and optimization method of assembly interface contact characteristics 一种新的装配界面接触特性评价与优化方法

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2026-05-05 Epub Date: 2026-03-10 DOI: 10.1016/j.measurement.2026.121124

Lifei Chen , Qiyin Lin , Mingjun Qiu , Chen Wang , Tao Wang , Hao Guan , Jun Hong

To address the current lack of comprehensive evaluation and optimization methods for contact interface characteristics in mechanical assemblies, this paper proposes a novel comprehensive evaluation and optimization method by integrating information entropy theory and harmonic mean analysis. The proposed method discretizes the assembly contact interface into a set and modifies the surface topography by adjusting the spatial coordinates of contact nodes. Iterative optimization is achieved using a novel evaluation metric and a node modification strategy based on target contact stress. As a case study, the flange interface between the first and second discs of an aeroengine is analyzed. By combining two critical characteristics uniformity of the contact stress distribution (quantified using information entropy) and the effective contact area, an optimization experiment was conducted. The results show a significant improvement, with a 89.13% increase in contact performance. Furthermore, comprehensive comparative experiments were conducted with existing evaluation and optimization methods to confirm the superior effectiveness of the proposed method. The proposed method offers a scalable solution for enhancing connection reliability and extending the service life of mechanical assemblies.

针对目前机械装配接触界面特性综合评价与优化方法的不足，提出了一种将信息熵理论与谐波均值分析相结合的机械装配接触界面特性综合评价与优化方法。该方法将装配接触界面离散为一个集合，并通过调整接触节点的空间坐标来修改表面形貌。采用一种新的评价指标和基于目标接触应力的节点修正策略实现了迭代优化。以某型航空发动机第一盘和第二盘之间的法兰界面为例进行了分析。结合接触应力分布均匀性（利用信息熵量化）和有效接触面积这两个关键特性，进行了优化实验。结果表明，改进后的接触面性能提高了89.13%。并与现有评价和优化方法进行了综合对比实验，验证了所提方法的优越性。该方法为提高连接可靠性和延长机械组件的使用寿命提供了可扩展的解决方案。

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