Measurement Sensors最新文献

Parameter to minimize false alarms in Negative Pressure Wave leak detection systems 参数用于减少负压波泄漏检测系统中的误报

Measurement Sensors Pub Date : 2025-09-29 DOI: 10.1016/j.measen.2025.101972

Ramiro Armengolt Núñez , Ebelia Del Angel Meraz , Juana Canul-Reich , Mayra Agustina Pantoja Castro , Karla María Aguilar Castro

{"title":"Parameter to minimize false alarms in Negative Pressure Wave leak detection systems","authors":"Ramiro Armengolt Núñez , Ebelia Del Angel Meraz , Juana Canul-Reich , Mayra Agustina Pantoja Castro , Karla María Aguilar Castro","doi":"10.1016/j.measen.2025.101972","DOIUrl":"10.1016/j.measen.2025.101972","url":null,"abstract":"<div><div>The presence of leaks in pipeline systems that transport fuel or drinking water causes economic losses and environmental impact. To minimize these effects, the leak must be detected in real time. In this sense, the Negative Pressure Wave (NPW) method shows high efficiency. However, it has been reported that it emits false leak alarms, since NPWs originating outside the monitored section are detected as leaks. Therefore, in this work, the behavior of NPWs originating inside and outside a pipeline section monitored by two pressure sensors was evaluated, to find a parameter that allows them to be differentiated. To do this, NPWs were generated, with known origin points with respect to the location of the sensors. When generating the NPWs, it was observed that the Delay Time (DT) to be detected by both sensors is maximum when the NPWs are generated outside the monitored section and minimum when the NPWs are generated at 50 % of the length between the sensors. Therefore, it is concluded that by quantifying the Tr parameter of the NPWs in the sensors, leaks generated outside the monitored section can be discriminated, reducing false alarms.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"42 ","pages":"Article 101972"},"PeriodicalIF":0.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145189960","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

Enhancing elderly activity recognition and safety through a hybrid deep learning model 通过混合深度学习模型提高老年人活动识别和安全

Measurement Sensors Pub Date : 2025-09-17 DOI: 10.1016/j.measen.2025.101970

G. Sujatha , Badrinath N. , Ch. Sarada , C. Sateesh Kumar Reddy , M. Sudhakara

{"title":"Enhancing elderly activity recognition and safety through a hybrid deep learning model","authors":"G. Sujatha , Badrinath N. , Ch. Sarada , C. Sateesh Kumar Reddy , M. Sudhakara","doi":"10.1016/j.measen.2025.101970","DOIUrl":"10.1016/j.measen.2025.101970","url":null,"abstract":"<div><div>In recent years, there has been a significant increase in interest in human activity recognition (HAR), primarily driven by the development of sensor-based technologies and their applications in various fields, including security, healthcare, and personal fitness. HAR systems have been the subject of numerous studies, most of which have concentrated on identifying everyday human activities. There is still a need to address the unique requirements of senior citizens, whose physical activity patterns vary due to age-related factors. Challenges with accuracy, flexibility of data collection, and dataset restrictions (e.g., few classifications and small sample sizes) emerge in the particular geriatric HAR setting. These problems hinder the development of reliable systems that accurately identify and track the activities of the elderly. In this research, a new approach to Elderly Activity Recognition is presented, based on a self-made Sensor-Enabled Android App that records movement features to produce a complete dataset with six different classes. We propose a hybrid model that combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) to address the issues mentioned above, thereby offering improved accuracy and adaptability. With a high accuracy of 98.60%, our model outperformed earlier methods by a wide margin. The model performed well when we assessed it using the following metrics: area under the curve (AUC), recall, F-score, and precision. The precision, recall, and f-score values are accordingly 98.90%, 96.79%, and 96.12%. The study’s findings offer valuable insights for developing systems that effectively identify and track the activities of the elderly, thereby enhancing their safety and overall well-being.Although the model is designed for elderly activity detection, it can be applied to a broader range of applications, including general human activity recognition, fitness tracking, rehabilitation monitoring, and fall detection.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"41 ","pages":"Article 101970"},"PeriodicalIF":0.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119541","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

Two-step compensation via rotational stepping error fitting for precise azimuth measurement with electronic compass 旋转步进误差拟合两步补偿，用于电子罗经精确方位测量

Measurement Sensors Pub Date : 2025-09-10 DOI: 10.1016/j.measen.2025.101971

Jinshuo Ma , Ningfeng Zhang , Tao Zhang , Jinyu Ma , Jian Li , Xinjing Huang

{"title":"Two-step compensation via rotational stepping error fitting for precise azimuth measurement with electronic compass","authors":"Jinshuo Ma , Ningfeng Zhang , Tao Zhang , Jinyu Ma , Jian Li , Xinjing Huang","doi":"10.1016/j.measen.2025.101971","DOIUrl":"10.1016/j.measen.2025.101971","url":null,"abstract":"<div><div>Marine buoys commonly employ electronic compasses to measure their azimuth angles under the requirements for low power consumption and high precision. After installation on buoys, geomagnetic electronic compasses often suffer from measurement errors in azimuth angles due to manufacturing errors and magnetic interference from the buoy structure. This paper presents a two-step compensation method for azimuth measurement errors of electronic compass based on rotational step error fitting. In the first step, before installation on the buoy, the magnetometer of the electronic compass is calibrated using the ellipsoidal fitting method, which requires arbitrary rotation of the lightweight compass around multiple different axes. In the second step, after mounting the electronic compass inside the buoy, stepwise rotations are performed to collect azimuth measurement errors at various angles. The least squares method is then applied to fit the developed error function relative to rotation angle to generate compensation values for various azimuths, which are used for secondary error compensation. Experimental results demonstrate that using azimuth angles calculated by high-precision satellite positioning devices as absolute reference values, the measurement accuracy of azimuth angles reaches 0.6° after applying the proposed compensation method to the electronic compass. This approach avoids the use of three-dimensional rotation operations or large Helmholtz coils and is therefore simple and suitable for field operation.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"41 ","pages":"Article 101971"},"PeriodicalIF":0.0,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048510","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

Coaxial probe ended by a metallic cavity cell to determine the material dielectric constant and dissipation factor 同轴探头端部采用金属腔，以确定材料的介电常数和耗散系数

Measurement Sensors Pub Date : 2025-08-01 DOI: 10.1016/j.measen.2025.101969

Franck Moukanda Mbango , Micke Ghislain Lountala , Omar Christian Massamba

{"title":"Coaxial probe ended by a metallic cavity cell to determine the material dielectric constant and dissipation factor","authors":"Franck Moukanda Mbango , Micke Ghislain Lountala , Omar Christian Massamba","doi":"10.1016/j.measen.2025.101969","DOIUrl":"10.1016/j.measen.2025.101969","url":null,"abstract":"<div><div><em>–</em> A new broadband technique based on combining the lumped and distributed elements with the sample under test (SUT) trapped inside the hole of the five-side-closed copper cavity and fed by a flat termination SMA (open-coaxial probe) is developed to determine the dielectric constant (DK) and dissipation factor (DF) and described in this paper. The method novelty expresses the relationship between the effective and relative permittivities through a second-degree polynomial function with three unknown complex coefficients, each of which is dependent on a specific frequency. The technique utilizes only the standard materials DK within a particular range to determine the required coefficients, including probe-cavity interface effects. That's for reaching an expected accuracy better than 5 % on the DK. The method offers the possibility of extracting up to <span><math><mrow><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></math></span> DF. The SUT is a square with a side length of 4.1 mm and a thickness of 510 μm. The Fused Quartz and Alumina 99.5 % have been tested in the 0.24–18.0 GHz frequency range, utilizing the measurement bench associated with the vector network analyzer (VNA) radiofrequency equipment. All measurements are made in two configurations: the cavity (trapping device) is filled with vacuum (as a reference), followed by the SUT (sample to be characterized).</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"40 ","pages":"Article 101969"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739656","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

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