Measurement最新文献

英文中文

STPCC: Spherical target point cloud correction model and its application to point cloud orientation of large scenes

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-21 DOI: 10.1016/j.measurement.2025.117063

Xu Zhang , Qingzhou Mao , Yinhu Zhan , Hao Zhou , Chunlin Shi

The center of a spherical target is often used as a feature primitive when large-scene point clouds are scanned. In the measurement of large-scene point clouds, the number of points in spherical target point clouds is small and suffers from non-negligible measurement errors, which reduces the precision of the sphere center fit and decreases the layout distance of the targets. To overcome these difficulties, a spherical target point cloud correction (STPCC) model is proposed to correct the positions of the target point clouds, which facilitates obtaining a more precise sphere center. There are five key steps for establishing the STPCC: analyzing the spatial geometric relationship between the laser and the spherical target, rasterizing the laser spot, deriving a unified ranging equation for subspots, constructing a two-dimensional Gaussian weight function, and establishing a correction model. The feasibility of STPCC is analyzed from multiple perspectives, and the application flow is described in detail. The experimental conclusions are as follows: 1) Following the correction of the large-scene target point clouds by STPCC, the fitting radius error, the residual RMSE (Root mean square error) and the error between the target spacing and the target baseline decreased to at least 1/5, 1/3 and 1/5, respectively, of those before correction. 2) STPCC can effectively correct the coordinates of the target point clouds to the target surface. The various errors of fitting the sphere center via STPCC are better than those of existing sphere fitting methods. 3) STPCC can improve the precision of large-scene point cloud orientation, and the orientation error after processing was reduced by more than 70% compared to that before processing.

{"title":"STPCC: Spherical target point cloud correction model and its application to point cloud orientation of large scenes","authors":"Xu Zhang , Qingzhou Mao , Yinhu Zhan , Hao Zhou , Chunlin Shi","doi":"10.1016/j.measurement.2025.117063","DOIUrl":"10.1016/j.measurement.2025.117063","url":null,"abstract":"<div><div>The center of a spherical target is often used as a feature primitive when large-scene point clouds are scanned. In the measurement of large-scene point clouds, the number of points in spherical target point clouds is small and suffers from non-negligible measurement errors, which reduces the precision of the sphere center fit and decreases the layout distance of the targets. To overcome these difficulties, a spherical target point cloud correction (STPCC) model is proposed to correct the positions of the target point clouds, which facilitates obtaining a more precise sphere center. There are five key steps for establishing the STPCC: analyzing the spatial geometric relationship between the laser and the spherical target, rasterizing the laser spot, deriving a unified ranging equation for subspots, constructing a two-dimensional Gaussian weight function, and establishing a correction model. The feasibility of STPCC is analyzed from multiple perspectives, and the application flow is described in detail. The experimental conclusions are as follows: 1) Following the correction of the large-scene target point clouds by STPCC, the fitting radius error, the residual RMSE (Root mean square error) and the error between the target spacing and the target baseline decreased to at least 1/5, 1/3 and 1/5, respectively, of those before correction. 2) STPCC can effectively correct the coordinates of the target point clouds to the target surface. The various errors of fitting the sphere center via STPCC are better than those of existing sphere fitting methods. 3) STPCC can improve the precision of large-scene point cloud orientation, and the orientation error after processing was reduced by more than 70% compared to that before processing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"250 ","pages":"Article 117063"},"PeriodicalIF":5.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527137","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 3D profiling system using thermoresistive sensing and image processing with stepwise pixel patching

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-21 DOI: 10.1016/j.measurement.2025.117073

Teng-Chung Liu , Padmanabh Pundrikaksha Pancham , Ming-Tse Yuan , Yu-Wen Chen , Cheng-Han Tsai , Cheng-Yao Lo

A thermoresistive strain sensing system with a concentric-like pattern, a special thermal insulator (aerogel), and integrated graphical user interface (GUI) for strain visualization was proposed and demonstrated in this work. The temperature responses were resulted from the contribution of resistance change and the current that flowed through the sensor with Joule heating. The aerogel between the sensor and the demonstrators avoided misleading material-induced heat dispassion, leading to improved accuracy. The GUI was coded through Matlab that converted two-dimensional thermal images into three-dimensional (3D) profiles through an established temperature − profile database for operation simplicity. In addition, a stepwise signal processing on pixel patching further optimized the visual perception of the 3D profile for practicality. The proposed system not only decoupled the serial connection of tension and compression, but also correctly indicated arbitrary strain orientations without any blind spots. The maximum tolerance was found to be lower than 9.3 % and the converted 3D profiles showed remarkable reconstruction of the object of interest with a coefficient of determination of 0.961; demonstrating a novel, non-contact, and integrated profiling system with optimized signal processing for mechanical applications.

{"title":"A 3D profiling system using thermoresistive sensing and image processing with stepwise pixel patching","authors":"Teng-Chung Liu , Padmanabh Pundrikaksha Pancham , Ming-Tse Yuan , Yu-Wen Chen , Cheng-Han Tsai , Cheng-Yao Lo","doi":"10.1016/j.measurement.2025.117073","DOIUrl":"10.1016/j.measurement.2025.117073","url":null,"abstract":"<div><div>A thermoresistive strain sensing system with a concentric-like pattern, a special thermal insulator (aerogel), and integrated graphical user interface (GUI) for strain visualization was proposed and demonstrated in this work. The temperature responses were resulted from the contribution of resistance change and the current that flowed through the sensor with Joule heating. The aerogel between the sensor and the demonstrators avoided misleading material-induced heat dispassion, leading to improved accuracy. The GUI was coded through Matlab that converted two-dimensional thermal images into three-dimensional (3D) profiles through an established temperature − profile database for operation simplicity. In addition, a stepwise signal processing on pixel patching further optimized the visual perception of the 3D profile for practicality. The proposed system not only decoupled the serial connection of tension and compression, but also correctly indicated arbitrary strain orientations without any blind spots. The maximum tolerance was found to be lower than 9.3 % and the converted 3D profiles showed remarkable reconstruction of the object of interest with a coefficient of determination of 0.961; demonstrating a novel, non-contact, and integrated profiling system with optimized signal processing for mechanical applications.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117073"},"PeriodicalIF":5.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479644","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

Accurate SOC estimation in power lithium-ion batteries using adaptive extended Kalman filter with a high-order electrical equivalent circuit model

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-21 DOI: 10.1016/j.measurement.2025.117081

Islam Md Monirul , Li Qiu , Rukhsana Ruby , Inam Ullah , Amin Sharafian

Accurate state of charge (SOC) estimation is vital for optimizing lithium-ion battery (LIB) performance and capacity in modern battery management systems (BMS). This study introduces a precise SOC estimation method through the employment of an adaptive extended Kalman filter (AEKF) with a high-order electrical equivalent circuit model that incorporates two series resistor–capacitor (RC) pairs to effectively capture the dynamic characteristics of LIBs. The model parameters are mathematically derived by solving equations associated with two operational states, using experimental data from hybrid pulse power characterization and open-circuit voltage tests to parameterize the model, which is then simulated in Simulink/MATLAB. The AEKF algorithm enhances SOC estimation by dynamically adjusting parameters to mitigate statistical noise, thereby minimizing estimation errors. Comparative analysis with the standard extended Kalman filter (EKF) demonstrates that the AEKF achieves faster convergence, greater stability, and improved accuracy. Specifically, a comparative analysis with the standard EKF shows that the AEKF improves accuracy by reducing the maximum estimation error from 0.0813 to 0.0171. These results justify the effectiveness of the AEKF in achieving highly accurate SOC estimation for power LIBs, significantly enhancing battery pack performance and reliability.

精确的充电状态（SOC）估计对于优化现代电池管理系统（BMS）中的锂离子电池（LIB）性能和容量至关重要。本研究通过采用自适应扩展卡尔曼滤波器（AEKF）和高阶电气等效电路模型，引入了一种精确的 SOC 估算方法，该模型包含两个串联电阻电容（RC）对，可有效捕捉锂离子电池的动态特性。该模型参数是通过求解与两种工作状态相关的方程，利用混合脉冲功率鉴定和开路电压测试的实验数据进行参数化，然后在 Simulink/MATLAB 中进行仿真得出的。AEKF 算法通过动态调整参数来减少统计噪声，从而最大限度地减少估计误差，从而增强了 SOC 估计能力。与标准扩展卡尔曼滤波器（EKF）的比较分析表明，AEKF 的收敛速度更快，稳定性更好，精度更高。具体来说，与标准 EKF 的比较分析表明，AEKF 通过将最大估计误差从 0.0813 降低到 0.0171 来提高精度。这些结果证明了 AEKF 在实现功率 LIB 的高精度 SOC 估计方面的有效性，从而显著提高了电池组的性能和可靠性。

{"title":"Accurate SOC estimation in power lithium-ion batteries using adaptive extended Kalman filter with a high-order electrical equivalent circuit model","authors":"Islam Md Monirul , Li Qiu , Rukhsana Ruby , Inam Ullah , Amin Sharafian","doi":"10.1016/j.measurement.2025.117081","DOIUrl":"10.1016/j.measurement.2025.117081","url":null,"abstract":"<div><div>Accurate state of charge (SOC) estimation is vital for optimizing lithium-ion battery (LIB) performance and capacity in modern battery management systems (BMS). This study introduces a precise SOC estimation method through the employment of an adaptive extended Kalman filter (AEKF) with a high-order electrical equivalent circuit model that incorporates two series resistor–capacitor (RC) pairs to effectively capture the dynamic characteristics of LIBs. The model parameters are mathematically derived by solving equations associated with two operational states, using experimental data from hybrid pulse power characterization and open-circuit voltage tests to parameterize the model, which is then simulated in Simulink/MATLAB. The AEKF algorithm enhances SOC estimation by dynamically adjusting parameters to mitigate statistical noise, thereby minimizing estimation errors. Comparative analysis with the standard extended Kalman filter (EKF) demonstrates that the AEKF achieves faster convergence, greater stability, and improved accuracy. Specifically, a comparative analysis with the standard EKF shows that the AEKF improves accuracy by reducing the maximum estimation error from 0.0813 to 0.0171. These results justify the effectiveness of the AEKF in achieving highly accurate SOC estimation for power LIBs, significantly enhancing battery pack performance and reliability.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117081"},"PeriodicalIF":5.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487098","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 flexible balloon sensor for biomechanical-electrical coupling detection in the esophagus

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-21 DOI: 10.1016/j.measurement.2025.117036

Peng Ran , Yingbing Lai , Minchuan Li , Wei Liu , Zhuizhui Jiao , Ying Zhong , Daming Sun

To detect and analyze the mechanoelectrical coupling signals of esophageal tissue, this paper proposes a novel flexible balloon sensor structure. This structure consists of four internal piezoelectric sensor arrays and sixteen external impedance electrode arrays. To validate the performance of the sensor in detecting the structural and mechanical properties of esophageal tissue, various simulations and experiments were conducted using electrical impedance spectroscopy (EIS) and mechanical reconstruction analysis. The results demonstrate that the sensor can distinguish stressed segments and detect esophageal impedance. Additionally, selecting an 80% balloon inflation level and employing a remote excitation strategy for the impedance electrode array proved to be optimal choices. Overall, the coupling signals acquired by the sensor effectively reflect the mechanical and tissue characteristics of the esophagus.

引用次数: 0

Extraction and characterization of irregular tunnel cross-sections based on point clouds

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-20 DOI: 10.1016/j.measurement.2025.117065

Yuzhu Zhou , Hui Chen , Ying Chen , Qingqing Ma

Monitoring of tunnel cross-section measurements is crucial for construction safety and accurate engineering records. Terrestrial Laser Scanning offers an effective measurement solution with high-precision data. In this article, a novel method based on clustering is proposed for extracting the centerline of irregular tunnels and constructing their cross-sectional models, with the aim of measuring cross-sectional profile information to serve excavation assessment and engineering recordkeeping purposes. First, the point cloud data is simplified and projected onto a two-dimensional plane. Then, a novel method called uniform mean shift is proposed to extract the tunnel’s centerline. Last, we construct sectional contour models at any position on the central axis. In a tunnel excavation experiment, the proposed method efficiently extracts the irregular tunnel’s centerline with centimeter-scale errors. The results demonstrate the method’s potential to support excavated tunnel construction monitoring by providing reliable and timely cross-sectional data.

引用次数: 0

Development of a sounding temperature sensor with four wires for upper-air temperature measurements

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-20 DOI: 10.1016/j.measurement.2025.117069

Lingkai Cui , Jie Yang , Mengqing Tan , Renhui Ding

Computational Fluid Dynamics (CFD) has been employed to study the effects of sensor structure, materials, and environmental factors on radiation-induced error and to explore their inherent variation patterns for correcting radiation-induced errors in radiosonde temperature data. Initially, CFD was used to assess the impact of different sensor structures, sizes, ascent speeds, altitudes, solar radiation intensity, and radiation directions on radiation-induced error. Subsequently, a four-wire sounding temperature sensor was designed. Simulation results indicate that the four-wire sensor exhibits excellent radiation thermal balance in three-dimensional space under various solar radiation directions. Therefore, the challenging factor of solar radiation direction can be disregarded in the radiation-induced error correction model. A multi-variable input radiation-induced error correction model for the four-wire sensor was developed using a neural network algorithm. Finally, experimental studies on the four-wire sensor and its radiation-induced error correction model were conducted using a low-pressure wind tunnel and a full-spectrum solar simulator.

{"title":"Development of a sounding temperature sensor with four wires for upper-air temperature measurements","authors":"Lingkai Cui , Jie Yang , Mengqing Tan , Renhui Ding","doi":"10.1016/j.measurement.2025.117069","DOIUrl":"10.1016/j.measurement.2025.117069","url":null,"abstract":"<div><div>Computational Fluid Dynamics (CFD) has been employed to study the effects of sensor structure, materials, and environmental factors on radiation-induced error and to explore their inherent variation patterns for correcting radiation-induced errors in radiosonde temperature data. Initially, CFD was used to assess the impact of different sensor structures, sizes, ascent speeds, altitudes, solar radiation intensity, and radiation directions on radiation-induced error. Subsequently, a four-wire sounding temperature sensor was designed. Simulation results indicate that the four-wire sensor exhibits excellent radiation thermal balance in three-dimensional space under various solar radiation directions. Therefore, the challenging factor of solar radiation direction can be disregarded in the radiation-induced error correction model. A multi-variable input radiation-induced error correction model for the four-wire sensor was developed using a neural network algorithm. Finally, experimental studies on the four-wire sensor and its radiation-induced error correction model were conducted using a low-pressure wind tunnel and a full-spectrum solar simulator.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117069"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471586","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

Flow rate measurement system for humanoid robot artificial soft muscles using rotameter-LVDT sensor integration

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-20 DOI: 10.1016/j.measurement.2025.117074

Amir R. Ali , Dania Aljabari , Ahmed Elsherbiny , Farah Ezzeldin , Ramy Mahmoud , Menna Shalaby

This paper presents a novel approach for measuring flow rates in the artificial soft muscle of the humanoid robot leg, specifically focusing on GUCnoid 1.0. We integrate a rotameter and Linear Variable Differential Transformer (LVDT) sensor to accurately quantify airflow rates within the muscle. The experimental setup, calibration procedures, and data acquisition methods are comprehensively described. Our results demonstrate that this combined approach offers exceptional precision and reliability in measuring flow rates, with the LVDT exhibiting a sensitivity of 0.0634 V/cm and a standard deviation of 0.2502 V. The rotameter displays a sensitivity of −12.859 V/(L/s) and a resolution of 0.0184 L/s for flow rates from 0 to 0.036 L/s, while achieving a sensitivity of −0.1409 V/(L/s) and a resolution of 0.0248 L/s for flow rates from 0.036 to 0.079 L/s. These findings advance flow rate measurement systems for artificial soft muscles in humanoid robotics.

引用次数: 0

Renewable DG allocation in radial distribution networks for techno-economic analysis using Chaotic Quasi Oppositional Arithmetic Optimization Algorithm

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-20 DOI: 10.1016/j.measurement.2025.117012

Indrajit Dey , Provas Kumar Roy

This paper introduces a chaotic quasi-oppositional arithmetic optimization algorithm (CQOAOA) for the placement and sizing of renewable distributed generators (DG) with the objective of active power loss minimization, annual operation costs reduction, and pollutant gas emissions mitigation and a multi-objective task of simultaneous optimization of annual operating costs and pollutant gas emissions are taken into consideration. The proposed CQOAOA algorithm is an improved version of arithmetic optimization algorithm (AOA). Here, two renewable energy sources solar and wind energy are used as DG where wind speed variation and solar irradiation are considered. The effectiveness of CQOAOA is exhibited on 33-bus, and 94-bus (Portuguese system) radial distribution networks (RDN). The percentage improvement obtained by CQOAOA algorithm with the objective of real power loss mitigation, pollutant gas emissions reduction, annual operation cost minimization are 58.69%, 99.94%, 22.30% for 33-bus system and 77.81%, 99.98%, 21.44% for 94-bus system respectively.

{"title":"Renewable DG allocation in radial distribution networks for techno-economic analysis using Chaotic Quasi Oppositional Arithmetic Optimization Algorithm","authors":"Indrajit Dey , Provas Kumar Roy","doi":"10.1016/j.measurement.2025.117012","DOIUrl":"10.1016/j.measurement.2025.117012","url":null,"abstract":"<div><div>This paper introduces a chaotic quasi-oppositional arithmetic optimization algorithm (CQOAOA) for the placement and sizing of renewable distributed generators (DG) with the objective of active power loss minimization, annual operation costs reduction, and pollutant gas emissions mitigation and a multi-objective task of simultaneous optimization of annual operating costs and pollutant gas emissions are taken into consideration. The proposed CQOAOA algorithm is an improved version of arithmetic optimization algorithm (AOA). Here, two renewable energy sources solar and wind energy are used as DG where wind speed variation and solar irradiation are considered. The effectiveness of CQOAOA is exhibited on 33-bus, and 94-bus (Portuguese system) radial distribution networks (RDN). The percentage improvement obtained by CQOAOA algorithm with the objective of real power loss mitigation, pollutant gas emissions reduction, annual operation cost minimization are 58.69%, 99.94%, 22.30% for 33-bus system and 77.81%, 99.98%, 21.44% for 94-bus system respectively.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117012"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463653","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

Acoustic-based detection and precise localization of seal failure points in nuclear power plant containment

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-20 DOI: 10.1016/j.measurement.2025.117077

Yu Zhang , Zhixin Zhang , Xiaobo Rui , Lei Qi , Lixin Xu , Ningbo Shi

Containment structures are paramount as the ultimate physical defense in nuclear power plants, tasked with hindering the release of radioactive materials. Seal failures, typically referring to leakage events, on the containment are deemed unacceptable defects. Additionally, capturing the initial moment of leakage event in practical applications often presents a significant challenge to conventional localization methods. This paper reports an experimental investigation on the location of the real continuous leakage caused by air vibration through an acoustical location method under the platform of a simulated containment leak location system. We propose a cross-correlation time difference estimation strategy based on minimum variance cutoff optimization. This method addresses the challenge of determining the arrival time of continuous signals by optimizing the cross-correlation time difference estimation. It overcomes the limitations of traditional TDOA algorithms in continuous signal scenarios and enables the localization of continuous leakage signals. The results indicate that this method achieves a localization error margin of less than 3 cm for actual gas leakages within the simulated containment environment. Furthermore, this method addresses the issue faced by traditional localization techniques, which struggle to ascertain the arrival time of continuous gas leakage signals, thus complicating precise positioning. Demonstrating significant utility, this method is notably suited for detecting continuous leakage signals within large storage tanks, suggesting broad applicability in ensuring containment integrity in nuclear facilities.

{"title":"Acoustic-based detection and precise localization of seal failure points in nuclear power plant containment","authors":"Yu Zhang , Zhixin Zhang , Xiaobo Rui , Lei Qi , Lixin Xu , Ningbo Shi","doi":"10.1016/j.measurement.2025.117077","DOIUrl":"10.1016/j.measurement.2025.117077","url":null,"abstract":"<div><div>Containment structures are paramount as the ultimate physical defense in nuclear power plants, tasked with hindering the release of radioactive materials. Seal failures, typically referring to leakage events, on the containment are deemed unacceptable defects. Additionally, capturing the initial moment of leakage event in practical applications often presents a significant challenge to conventional localization methods. This paper reports an experimental investigation on the location of the real continuous leakage caused by air vibration through an acoustical location method under the platform of a simulated containment leak location system. We propose a cross-correlation time difference estimation strategy based on minimum variance cutoff optimization. This method addresses the challenge of determining the arrival time of continuous signals by optimizing the cross-correlation time difference estimation. It overcomes the limitations of traditional TDOA algorithms in continuous signal scenarios and enables the localization of continuous leakage signals. The results indicate that this method achieves a localization error margin of less than 3 cm for actual gas leakages within the simulated containment environment. Furthermore, this method addresses the issue faced by traditional localization techniques, which struggle to ascertain the arrival time of continuous gas leakage signals, thus complicating precise positioning. Demonstrating significant utility, this method is notably suited for detecting continuous leakage signals within large storage tanks, suggesting broad applicability in ensuring containment integrity in nuclear facilities.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"249 ","pages":"Article 117077"},"PeriodicalIF":5.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510684","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

SaimVAE: An unlabeled intelligent ultrasonic NDT method for composite materials

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement

Pub Date : 2025-02-20 DOI: 10.1016/j.measurement.2025.117059

Caizhi Li , Hanyi Guo , Xiaolong Wei , Weifeng He , Xiangfan Nie , Tiejun Zhang , Yang Fang

In recent years, a lot of research has been carried out to achieve intelligent ultrasonic NDT of composite materials. This paper proposes an intelligent ultrasonic NDT method to assist manual inspection, which does not require additional labelled data. The technique utilizes an improved variational auto-encoder (VAE) to construct an ultrasonic signal classification module. It automatically identifies normal and abnormal signals in composites by reconstructing them and calculating the errors, with an average Area Under Curve (AUC) value of 0.958. The method also designs a probe tracking module to replace the conventional encoder, with a tracking success rate of 92.1% and a tracking speed of 35 fps. Finally, the composite inspection results are visually presented using the ultrasonic signal classification and probe tracking results. The results show that this method makes it easier and faster to show the internal state of the composite material.

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Measurement

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀