Measurement最新文献_第9页

A unified strategy for real-time event detection for enhanced power system protection through robust situational awareness 实时事件检测统一战略，通过强大的态势感知加强电力系统保护

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117590

Divya Rishi Shrivastava , Shahbaz Ahmed Siddiqui

{"title":"A unified strategy for real-time event detection for enhanced power system protection through robust situational awareness","authors":"Divya Rishi Shrivastava , Shahbaz Ahmed Siddiqui","doi":"10.1016/j.measurement.2025.117590","DOIUrl":"10.1016/j.measurement.2025.117590","url":null,"abstract":"<div><div>Real-time data collection, analysis to improve situational awareness, and post-event assessment and control are critical for supporting a functional power system. The Phasor Measurement Units (PMUs) estimates the synchronized wide area measurements, which are then used to ascertain an event’s signature. This paper proposes an efficient placement strategy for phasor measurement units (PMUs) across the power grid. The developed PMU placement framework is an Integer Linear Programming (ILP) based method such that, the system can be observed even in the wake of severe and credible severities. The generated synchronized data is then utilized to design an Innovative Event Detector (<em>IED</em>). The developed <em>IED</em> enhances the situational awareness and hence provide critical information to the operator for protecting power system infrastructure against severe and credible contingencies. The innovative Event Signature (<em>ES</em>), which employs synchronized frequency measurements, is incorporated into the <em>IED</em> to identify a system response to an event. The trained classifier model then assesses the event’s occurrence in real time by using the <em>ES</em> as features. The developed comprehensive approach can provide support the protection schemes in the power system by providing accurate and timely information of unstable operation scenarios. The standard IEEE 39 Bus test power system and relatively larger, IEEE 118 Bus test system are utilized to test the efficiency of the proposed integrated approach.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117590"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855161","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 cementitious composite characteristics based on waste glass powder and aggregates: Experimental and statistical analysis 基于废玻璃粉和骨料的胶凝复合特性预测：实验和统计分析

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117609

Sarra Mezaouri , Sidi Mohamed Aissa Mamoune , Hocine Siad , Mohamed Lachemi , Messaouda Boumaaza , Ahmed Belaadi , Ibrahim M.H. Alshaikhd , Djamel Ghernaout , Yazid Chetbani , Aissa Laouissi

{"title":"Prediction of cementitious composite characteristics based on waste glass powder and aggregates: Experimental and statistical analysis","authors":"Sarra Mezaouri , Sidi Mohamed Aissa Mamoune , Hocine Siad , Mohamed Lachemi , Messaouda Boumaaza , Ahmed Belaadi , Ibrahim M.H. Alshaikhd , Djamel Ghernaout , Yazid Chetbani , Aissa Laouissi","doi":"10.1016/j.measurement.2025.117609","DOIUrl":"10.1016/j.measurement.2025.117609","url":null,"abstract":"<div><div>The study’s objective is to examine the influence of the use of waste glass powder and aggregate in maximum quantities on the characteristics of cementitious composites to create an environmentally friendly mortar with good mechanical strength. This concept is in line with circular economic principles by repurposing waste materials, reducing landfill usage, and minimizing environmental impact. Waste glass aggregate (WA) has been used to replace standardized sand at proportions of 0%, 25%, 50%, 75% up to 100%. Furthermore, waste glass powder (WP) has been used to replace cement in proportions of 0%, 5%, 10%, 15%, 20%, 25% and 30%. The experimental procedure was conducted and evaluated utilizing response surface methodology (RSM), and an analysis of variance (ANOVA) approach was employed to detect the parameters (WA and WP) that most influenced the measured responses, such as 360-day compressive strength, greenhouse gases (CHGs), and energy. ANOVA for all mortar properties studied indicated that quadratic models predicted effectively, with an R<sup>2</sup> coefficient of determination near 1. Multi-objective optimization based on empirical models derived from RSM identified optimal solutions for mortar properties, namely 92% WA replacement by natural aggregates and 19% WP content by OPC substitution. Experimental validation confirmed these predictions, with errors below 8%. Energy Dispersive X-ray spectroscopy (EDX) and Scanning Electron Microscopy (SEM) serving to confirm this conclusion.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117609"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847288","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

Phosphorus-nitrogen co-doped graphene: Advancements in fast, highly sensitive ammonia sensing at room temperature 磷氮共掺杂石墨烯：在室温下快速、高灵敏度氨传感的进展

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117529

Quanfu Li , Manli Sun , Fuqian Li , Zhencheng Chen , Xudong Luo

{"title":"Phosphorus-nitrogen co-doped graphene: Advancements in fast, highly sensitive ammonia sensing at room temperature","authors":"Quanfu Li , Manli Sun , Fuqian Li , Zhencheng Chen , Xudong Luo","doi":"10.1016/j.measurement.2025.117529","DOIUrl":"10.1016/j.measurement.2025.117529","url":null,"abstract":"<div><div>High sensitivity and fast response ammonia gas sensors have wide applications in chemical production, food safety, medical diagnosis, and other fields. This work innovatively utilizes phosphorus and nitrogen as co-doping elements to significantly enhance the ammonia sensing performance of graphene. Ammonia sensing tests have shown that phosphorus-nitrogen co-doped graphene (PNG) exhibits excellent ammonia sensing performance at room temperature: high response (up to 4.34% response to 0.5 ppm ammonia, more than 5 times that of graphene), ultra-low detection limit (33.9 ppb), fast response/recovery (response time (<span><math><msub><mrow><mtext>T</mtext></mrow><mrow><mi>r</mi><mi>e</mi><mi>s</mi></mrow></msub></math></span>) and recovery time (<span><math><msub><mrow><mtext>T</mtext></mrow><mrow><mi>r</mi><mi>e</mi><mi>c</mi></mrow></msub></math></span>) are 19 s and 36 s, respectively, which are more than 90% shorter than graphene on average). In addition, the PNG ammonia sensor also has excellent selectivity and good long-term stability. The PNG ammonia sensor studied in this paper has great potential in practical applications, especially in the detection of low concentration ammonia in exhaled breath analysis for medical diagnostics. It is expected to provide a reliable and low-cost solution for various applications of graphene ammonia sensors.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117529"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869749","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 color classification system for sunglass lenses based on YCrCb-MST hyperspectral reconstruction 基于YCrCb-MST高光谱重构的太阳镜镜片颜色分类系统

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117527

Xin Wang , Yu-jie Zhang , Jian-sheng Chen , Xian-guang Fan , Yong Zuo

{"title":"A color classification system for sunglass lenses based on YCrCb-MST hyperspectral reconstruction","authors":"Xin Wang , Yu-jie Zhang , Jian-sheng Chen , Xian-guang Fan , Yong Zuo","doi":"10.1016/j.measurement.2025.117527","DOIUrl":"10.1016/j.measurement.2025.117527","url":null,"abstract":"<div><div>Color deviation in sunglass lenses can cause various issues when pairing sunglasses, including visual fatigue, discomfort, and imbalances in pupil adjustment. The high color saturation of lenses, the minimal color variation between them, and the sensitivity of color measurement to environmental brightness restrict the effectiveness of traditional machine learning and deep learning methods in detecting and classifying lens colors. In this study, we developed a high signal-to-noise ratio image acquisition system that utilizes a point light source to illuminate the lens and capture the reflected light image, thereby minimizing the impact of ambient brightness on image acquisition. A YCrCb Multi-stage Spectral-wise Transformer (YCrCb-MST) is employed to reconstruct the hyperspectral image of the reflected light, addressing the limitations in classification ability caused by the stacking of the RGB spectrum and the minimal color differences. To improve the accuracy of color classification, this study utilizes the Particle Swarm Optimization-Extreme Learning Machine (PSO-ELM) algorithm. The PSO-ELM optimizes the input weights and hidden layer bias of the ELM through PSO. Through a specific learning and training process, the optimized ELM achieves satisfactory classification, and the reconstructed hyperspectral images of the lenses are efficiently categorized. The results confirm that the proposed YCrCb-MST-PSO-ELM method achieves an accuracy of 98.69 ± 0.59 % in the classification of sunglasses lens colors. We propose a low-cost, high-accuracy lens color classification system that offers a novel technical solution for classifying sunglasses lens colors. Additionally, it serves as a valuable reference for addressing color classification challenges in other fields.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117527"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834821","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

On line monitoring method for overheating fault of oil immersed transformer based on oil’s chromatographic data 基于油液色谱数据的油浸变压器过热故障在线监测方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117603

Tianjiao Zhao, Tongfu Chen, Dongming Ma, Guang’ao Wu, Tengfei Chen

{"title":"On line monitoring method for overheating fault of oil immersed transformer based on oil’s chromatographic data","authors":"Tianjiao Zhao, Tongfu Chen, Dongming Ma, Guang’ao Wu, Tengfei Chen","doi":"10.1016/j.measurement.2025.117603","DOIUrl":"10.1016/j.measurement.2025.117603","url":null,"abstract":"<div><div>As an important component of the smart grid, oil immersed transformers can ensure the stability of the grid through pre testing, monitoring, and diagnosis. Therefore, an online monitoring method for overheating faults of oil immersed transformers based on oil chromatography data is proposed. The article first analyzes the common types of faults in oil immersed transformers, analyzes the gas production mechanism of transformer oil, then constructs an oil chromatography data acquisition model under fault conditions, completes oil chromatography signal processing, and finally extracts oil chromatography data features. Based on support vector machine, the overheating fault diagnosis of oil immersed transformers is completed. Taking the DC resistance test data of 127 transformers in a certain region over the past 9 years as an example, the experimental results are as follows: using the proposed method, the overheating fault detection effect of oil immersed transformers is good, with a false alarm rate of about 0.16 %, a false alarm rate controlled at about 3.95 %, a fault diagnosis accuracy controlled at about 3.95 %, an average response time of only 1.39 s, and an average cost of 12.57 MBit, which is better than the comparative method and has a better application effect.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117603"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860178","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 minimalist wireless instrumented shoe design to measure foot clearance in human gait 一种极简的无线仪器鞋设计，用于测量人类步态中的足部间隙

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117605

Jin Yuan Koay, Darwin Gouwanda

引用次数: 0

Uncertainty assessment of cavity profile reconstructed by outward-ECT based on parameter bootstrap method and CFD-EMF simulation 基于参数自举法和CFD-EMF仿真的外电辐射重构空腔廓形的不确定性评估

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117619

Mengxian Shen , Xiyao Zhao , Jiangtao Sun , Yongxuan Han , Zitang Yuan , Peng Suo , Yadong Wang , Changwen Li , Lijun Xu

{"title":"Uncertainty assessment of cavity profile reconstructed by outward-ECT based on parameter bootstrap method and CFD-EMF simulation","authors":"Mengxian Shen , Xiyao Zhao , Jiangtao Sun , Yongxuan Han , Zitang Yuan , Peng Suo , Yadong Wang , Changwen Li , Lijun Xu","doi":"10.1016/j.measurement.2025.117619","DOIUrl":"10.1016/j.measurement.2025.117619","url":null,"abstract":"<div><div>Outward electrical capacitance tomography (Outward-ECT) provides a powerful method for monitoring the cavity profiles on the exterior of axisymmetric bodies. However, comprehensive quantitative analyses of attached cavities based on Outward-ECT measurements are still lacking. This study introduces a Monte Carlo parameter bootstrap method that quantifies the uncertainty of the reconstructed cavity profile using a posteriori means and standard deviations of bootstrap samples. Additionally, a coupled computational fluid dynamics and electromagnetic field (CFD-EMF) simulation framework is proposed to correct axial offset errors arising from the fringe effects of Outward-ECT. Water entry experiments were conducted, and high-speed camera images served as references to validate the proposed methodology. Experimental results demonstrate that the maximum uncertainty in the relative cavity radius measured by Outward-ECT during vertical water entry is 0.0475, corresponding to an actual deviation of 1.43 mm. Upon correction of axial offset error, the estimated relative radius from Outward-ECT closely matches the reference radius, illustrating the importance of correcting axial offset errors when monitoring cavity profiles using single-plane Outward-ECT.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117619"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860014","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 electricity price forecasting approach based on multi-attention feature fusion model optimized by variational mode decomposition 基于变分模态分解优化的多关注特征融合模型的电价预测新方法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117596

Yuzhen Xu , Xin Huang , Ziao Gao , Mohamed A. Mohamed , Tao Jin

{"title":"A novel electricity price forecasting approach based on multi-attention feature fusion model optimized by variational mode decomposition","authors":"Yuzhen Xu , Xin Huang , Ziao Gao , Mohamed A. Mohamed , Tao Jin","doi":"10.1016/j.measurement.2025.117596","DOIUrl":"10.1016/j.measurement.2025.117596","url":null,"abstract":"<div><div>Electricity price forecasting (EPF) is crucial for the optimal dispatch of energy markets. The increasing penetration of renewable energy for electricity generation has added more influencing variables to the electricity price curve, making the EPF more challenging. Therefore, this paper addresses electricity price data in energy markets with renewable energy generation and proposes an innovative Variational Mode Decomposition (VMD)-based multi-attention mechanism feature fusion model (V-MAF) for EPF. First, VMD processing reduces noise and captures multi-scale features in price and load sequences. Next, by integrating Gated Recurrent Units (GRU), Temporal Convolutional Networks (TCN), and Squeeze-and-Excitation Networks (SENet), a parallel network architecture combining SE-TCN and SE-GRU is constructed. This architecture captures local fluctuations and periodic patterns in VMD-separated multi-scale data, enhancing feature exploration and improving the model’s ability to fit price variations. Finally, the output features from both networks are combined and fed into a Multi-Head Attention (MHA) along with the original features, allowing the model to focus on different parts of the input features from multiple perspectives. The innovative architecture enhances the ability to capture multi-scale features in time series and further focuses on key features through adaptive weight allocation of the attention mechanism. Experiments on the Singapore dataset and ablation studies demonstrated the effectiveness of VMD, SENet, and MHA in enhancing network performance. Multi-model comparisons showed that the V-MAF model outperformed others, providing more stable and accurate predictions. On Dataset 1, the V-MAF model achieved the Root Mean Square Error (RMSE) of 1.3168, reduced errors by 11.09% to 59.13% compared to other models such as XGBoost, ATT-CNN-LSTM, BiGRU, and VMD-Transformer.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117596"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869745","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

Differential proportional divider resistance method for high resolution temperature measurement 高分辨率温度测量的差分比例分压器电阻法

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117620

Hongxing Yang , Shiyuan Lin , Chang Liu , Ziqi Yin , Yan Wang , Chenxi Du , Pengcheng Hu

{"title":"Differential proportional divider resistance method for high resolution temperature measurement","authors":"Hongxing Yang , Shiyuan Lin , Chang Liu , Ziqi Yin , Yan Wang , Chenxi Du , Pengcheng Hu","doi":"10.1016/j.measurement.2025.117620","DOIUrl":"10.1016/j.measurement.2025.117620","url":null,"abstract":"<div><div>High-resolution and high-accuracy temperature-measuring systems are vital for advanced missions in aerospace applications that require minimal temperature fluctuations (reaching levels of 0.1 mK/Hz<sup>1/2</sup> within a frequency range of 0.1 mHz to 1 Hz). However, drift errors and noise arising from the electrical characteristics and electronic components in a measurement circuit must be alleviated to enhance accuracy and resolution. Here, we propose a differential proportional divider-resistance measurement method to effectively mitigate low-frequency noise and long-term temperature drift errors by continuous voltage sampling and subtraction. We show the effectiveness of our method in suppressing measurement noise within the low-frequency range by measuring the noise spectral density of the proposed system. We demonstrate a resolution of 0.017 mK through an equivalent temperature measurement experiment utilizing a high-precision resistance decade box. Our findings offer new means to developing highly-resolved temperature measurements for high-precision applications.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117620"},"PeriodicalIF":5.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869750","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

Learning from synthesized data for quality assurance in open-source microcontroller manufacturing 从综合数据学习质量保证在开源微控制器制造

IF 5.2 2区工程技术

Measurement Pub Date : 2025-04-16 DOI: 10.1016/j.measurement.2025.117490

Zhifan Song , Abd Al Rahman M. Abu Ebayyeh

引用次数: 0