Measurement Sensors最新文献

Calculation of efficiency in a centrifugal pump using the thermodynamic method through an adapted voltage acquisition module 通过电压采集模块，用热力学方法计算离心泵的效率

Measurement Sensors Pub Date : 2025-07-09 DOI: 10.1016/j.measen.2025.101968

Erick O. Castañeda Magadán , Laura L. Castro Gomez , José A. Marbán Salgado , Miguel A. Basurto Pensado , Víctor M. Zezatti Flores , Oscar Sotelo Mazón

{"title":"Calculation of efficiency in a centrifugal pump using the thermodynamic method through an adapted voltage acquisition module","authors":"Erick O. Castañeda Magadán , Laura L. Castro Gomez , José A. Marbán Salgado , Miguel A. Basurto Pensado , Víctor M. Zezatti Flores , Oscar Sotelo Mazón","doi":"10.1016/j.measen.2025.101968","DOIUrl":"10.1016/j.measen.2025.101968","url":null,"abstract":"<div><div>This study presents the calculation of hydraulic efficiency in a variable-speed centrifugal pump using the Thermodynamic Method, employing a cost-effective, adapted data acquisition system to obtain key variables. The proposed equipment complies with the criteria established by the “International Electrotechnical Commission (IEC) 60041” Standard for applying the Thermodynamic Method to the pump. Temperature and pressure measurements at the suction and discharge section of the turbomachine provide real-time data for hydraulic efficiency calculation. The temperature and pressure (key variables) are recorded through an open access system integrated with commercial software that offers a user-friendly interface. Experimental tests conducted at different rotational speeds in the pump allow for the efficiency curves based on the temperature difference between the pump's inlet and outlet. The results indicate a maximum hydraulic efficiency of 50.52 % at a rotational speed of 276 rad/s with an error of 1.65 % compared to the theoretical efficiency and an average error of 7.49 % across the entire rotational speed range (220 rad/s – 371 rad/s). With an error margin below 10 % across the tested rotational speed range, the adapted module ensures reliable efficiency results for water temperatures ranging from 20 °C to 46 °C.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"40 ","pages":"Article 101968"},"PeriodicalIF":0.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pioneering CPMI framework for accurate state-of-health assessment in Lithium ion battery power management using FBG sensors 开创性的CPMI框架，用于使用FBG传感器对锂离子电池电源管理进行准确的健康状态评估

Measurement Sensors Pub Date : 2025-07-02 DOI: 10.1016/j.measen.2025.101967

Taher M. Ghazal , Ali Q. Saeed , Mosleh M. Abualhaj , Taj-Aldeen Naser Abdali , Munir Ahmad

{"title":"Pioneering CPMI framework for accurate state-of-health assessment in Lithium ion battery power management using FBG sensors","authors":"Taher M. Ghazal , Ali Q. Saeed , Mosleh M. Abualhaj , Taj-Aldeen Naser Abdali , Munir Ahmad","doi":"10.1016/j.measen.2025.101967","DOIUrl":"10.1016/j.measen.2025.101967","url":null,"abstract":"<div><div>Continuous monitoring of the State of Health (SOH) in Lithium-ion (Li-ion) batteries is crucial for ensuring operational reliability and safety in powered devices. This paper presents a novel Classifier-Pursued Maintenance Index Scheme (CPMI) that leverages Fiber Bragg Grating (FBG) sensor measurements for sustainable SOH monitoring and maintenance scheduling. The CPMI framework processes real-time temperature and strain measurements from strategically placed FBG sensors during charge-discharge cycles to estimate battery capacity degradation and determine maintenance requirements. The proposed system employs a support vector-based classification algorithm that categorizes operational states based on FBG sensor data streams, identifying deviations from optimal temperature and voltage ranges. This classification approach generates a quantitative maintenance index that enables systematic assessment scheduling rather than arbitrary inspections. Experimental validation over 200 charge-discharge cycles demonstrates the CPMI system's effectiveness, achieving a maintenance state identification accuracy of 0.95, 75 % classification success rate, classification latency of 0.1 s, precision exceeding 0.95, and an assessment reliability of 0.98. Integrating FBG sensors with the CPMI framework provides a robust Li-ion battery SOH monitoring solution, enabling predictive maintenance strategies and enhanced power management capabilities. The proposed system demonstrates significant potential for improving battery lifecycle management and operational reliability in various applications.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"40 ","pages":"Article 101967"},"PeriodicalIF":0.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved travel calculation method for high-speed carriers penetrating objects 改进了高速载体穿透物体的行程计算方法

Measurement Sensors Pub Date : 2025-06-01 DOI: 10.1016/j.measen.2025.101966

Xingcheng Wei , Tao Zeng , Li Sui , Gengchen Shi

{"title":"Improved travel calculation method for high-speed carriers penetrating objects","authors":"Xingcheng Wei , Tao Zeng , Li Sui , Gengchen Shi","doi":"10.1016/j.measen.2025.101966","DOIUrl":"10.1016/j.measen.2025.101966","url":null,"abstract":"<div><div>To improve the accuracy of travel calculations during the penetration of objects by high-speed carriers, this paper proposes a method for processing acceleration data during the penetration process. Through simulation, penetration acceleration data were obtained, and Fourier Transform was employed to analyze the time-frequency characteristics of these data. Given that penetration acceleration signals are often contaminated by high-frequency oscillatory noise, a novel signal processing approach is introduced. Using a controlled variable method in simulation, the frequency boundary between high-frequency noise and useful signals was identified. After applying a low-pass filter with a cutoff frequency of 10 kHz, the simulation results indicated that the processed signal provides sufficiently accurate travel information. On the hardware side, a specialized signal conditioning circuit was designed for the acceleration sensor signals, and its effectiveness was verified through Machette hammer experiments. Additionally, semi-physical simulation tests further confirmed the accuracy of the proposed travel calculation method. The results demonstrate that the improved method presented in this paper can significantly enhance the precision of travel calculations during the penetration of objects by high-speed carriers.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"39 ","pages":"Article 101966"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 “A deep learning based solution for data disproportionproblem in side channel attacks using intelligent sensors” [Measur. Sens. 33 (2024) 101137 1–8] “使用智能传感器的基于深度学习的侧信道攻击中数据歧化问题解决方案”的勘误表。Sens. 33 (2024) 101137 1-8]

Measurement Sensors Pub Date : 2025-06-01 DOI: 10.1016/j.measen.2025.101869

B. Indupriya , Vijaya Chandra Jadala , D.V. Lalitha Parameswari

引用次数: 0

Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces 通过传感器支持的可穿戴增强现实界面在机械系统中的人机交互

Measurement Sensors Pub Date : 2025-05-15 DOI: 10.1016/j.measen.2025.101880

K. Balamurugan , G. Sudhakar , Kavin Francis Xavier , N. Bharathiraja , Gaganpreet Kaur

{"title":"Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces","authors":"K. Balamurugan , G. Sudhakar , Kavin Francis Xavier , N. Bharathiraja , Gaganpreet Kaur","doi":"10.1016/j.measen.2025.101880","DOIUrl":"10.1016/j.measen.2025.101880","url":null,"abstract":"<div><div>The research improves mechanical systems by using wearable sensor-based Augmented Reality (AR) interfaces for better Human-Machine Interaction (HCI). Industrial AR systems currently face problems created by their static programming methods along with delayed responsiveness and restricted sensor collectability and insufficient wireless throughput that results in system inefficiency and elevated stress on users. A new wearable AR system using gloves with haptic feedback and flex sensors with Inertial Measurement Units provides precise gesture-control while displaying real-time contextual information. The dynamic gesture recognition system uses Random Forest as its lightweight machine learning model to achieve 93.4 % accuracy in mapping gestures to command sequences which represents a 14.6 % enhancement above conventional static models. The system leverages Edge Computing for low-latency processing (average latency <47 ms) and cloud-based analytics for predictive maintenance insights. The proposed setup demonstrated an enhanced industrial performance in a simulated environment through error reduction by 22.3 % along with a 31.1 % increase in task speed and a 27.8 % improvement in situational awareness recorded through NASA-TLX cognitive load evaluations. Findings prove that the system fills fundamental weaknesses with current AR-assisted industrial HCI systems by providing automatic adaptation features along with improved safety measures and precise operational capability.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"39 ","pages":"Article 101880"},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed data acquisition optimization algorithm for wireless sensor networks 无线传感器网络分布式数据采集优化算法

Measurement Sensors Pub Date : 2025-05-14 DOI: 10.1016/j.measen.2025.101883

Youxian Zhang , Zhen Nie , Hongxu Zhang

{"title":"Distributed data acquisition optimization algorithm for wireless sensor networks","authors":"Youxian Zhang , Zhen Nie , Hongxu Zhang","doi":"10.1016/j.measen.2025.101883","DOIUrl":"10.1016/j.measen.2025.101883","url":null,"abstract":"<div><div>With the rapid development of applications such as the Internet of Things and intelligent transportation, wireless sensor networks play an important role in data collection and environmental monitoring. However, wireless sensor networks face low efficiency and high energy consumption in distributed data collection and node configuration. In this context, a sensor node configuration optimization algorithm based on an improved sparrow search algorithm by introducing reverse elite selection, dynamic perturbation, and dynamic warning update strategies is proposed. Secondly, a virtual grid partitioning strategy is designed, and a distributed data collection and transmission optimization algorithm is proposed. The node configuration algorithm achieved the most uniform distribution of nodes in simulation testing and almost achieved complete region coverage. Under 30 % node failure, its network coverage rate was 83.5 %. When the packet size was 1000 kb, the data transmission rate and average communication delay of the data collection algorithm were 4.2 Mbps and 42 ms, respectively. Compared with existing algorithms, the proposed scheme performs well in coverage retention, energy consumption reduction, and fault recovery capability, and can meet the efficient and reliable distributed data collection needs of wireless sensor networks in complex environments.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"39 ","pages":"Article 101883"},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A new deadweight force standard machine for classifying C6 load cells under temperature conditions 一种在温度条件下对C6称重传感器进行分类的新型自重力标准机

Measurement Sensors Pub Date : 2025-05-01 DOI: 10.1016/j.measen.2024.101333

Daniel Schwind , Martin Eller , Olaf Krusemark , Kai Reglitz

{"title":"A new deadweight force standard machine for classifying C6 load cells under temperature conditions","authors":"Daniel Schwind , Martin Eller , Olaf Krusemark , Kai Reglitz","doi":"10.1016/j.measen.2024.101333","DOIUrl":"10.1016/j.measen.2024.101333","url":null,"abstract":"<div><div>While the main focus of Force Standard Machines (FSM) is on the uncertainty and traceability to national or international standards when calibrating force transducers, the linearity, hysteresis and reproducibility requirements under thermal conditions are at the forefront when testing load cells [<span><span>1</span></span>]. Beyond that it is often underestimated that deadweight machines are unavoidable for the requirements of C6 load cells in accordance with OIML R60 [<span><span>2</span></span>]. But such deadweight machines largely determine the cost and at the end the selling price of the individual load cell. This results in the need to find an economical solution for the standard machine through new concepts.</div><div>This paper describes the design and performance of a new 2000 kg standard machine for economic testing of C6 load cells under temperature conditions by implementing a load cell magazine, full automation and digital connection to the production network of Minebea Intec at Hamburg, a leading global manufacturer of industrial weighing and inspection technologies.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"38 ","pages":"Article 101333"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144211946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of the long-term drift of high precision resistance measures 高精度电阻测量的长期漂移评价

Measurement Sensors Pub Date : 2025-05-01 DOI: 10.1016/j.measen.2024.101430

Oleh Velychko, Vasyl Dovhan, Denys Nikitenko, Jaroslav Brezytskyi

引用次数: 0

New Sartorius mass comparator for highest accuracy including fully automatic vacuum transfer system 新型赛多利斯质量比较仪，精度最高，包括全自动真空传输系统

Measurement Sensors Pub Date : 2025-05-01 DOI: 10.1016/j.measen.2024.101360

Falko Hilbrunner , Mario Schreiber , Thomas Fröhlich , Thomas Fehling , Folker Schwesinger , Gunter Krapf

引用次数: 0

Realisation and dissemination of mass through the consensus value of the kilogram and preparation for the final phase of traceability to independent realisations 通过千克的共识值实现和传播质量，并为独立实现可追溯性的最后阶段做准备

Measurement Sensors Pub Date : 2025-05-01 DOI: 10.1016/j.measen.2024.101352

Richard Green , Stuart Davidson , Jacques Liard , Nathan Murnaghan , David Avilés Castro , Harold Parks

{"title":"Realisation and dissemination of mass through the consensus value of the kilogram and preparation for the final phase of traceability to independent realisations","authors":"Richard Green , Stuart Davidson , Jacques Liard , Nathan Murnaghan , David Avilés Castro , Harold Parks","doi":"10.1016/j.measen.2024.101352","DOIUrl":"10.1016/j.measen.2024.101352","url":null,"abstract":"<div><div>The National Research Council of Canada's (NRC) Kibble balance contributes to the determination of the Consensus Value of the kilogram through participation in periodic key comparisons. This paper provides an overview of the Consensus Value of the kilogram and the realisation and dissemination of mass within the present phase of traceability through it. Description of NRC's participation in international comparisons used to calculate the Consensus Value is detailed, including methods to operate the Kibble balance, major uncertainties, and the evolution of key supporting measurements. The potential benefits of using a digital twin to optimise Kibble balance experiments and of digital comparisons to evaluate the equivalence of realisation experiments and determine the Consensus Value of the kilogram are also discussed. We offer perspectives on the possible future landscape of mass metrology once the use of individual realisations of the kilogram has been sanctioned and the final phase of dissemination from the Planck constant that began with redefinition of the SI in 2019 is reached.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"38 ","pages":"Article 101352"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0