Measurement最新文献

{"title":"Long-term error compensation in inertial IEKF-based localization with transformer-adaptive noise tuning and IMU missing data handling","authors":"Mohammad Alikhani,&nbsp;Amirhossein Nikoofard","doi":"10.1016/j.measurement.2025.118928","DOIUrl":"10.1016/j.measurement.2025.118928","url":null,"abstract":"<div><div>Reliable inertial localization requires accurate state estimation over extended durations, particularly in challenging environments where sensor noise and missing data can significantly degrade performance. In this work, we present an inertial localization framework based on invariant extended Kalman filter (IEKF) that incorporates a transformer-based adaptive noise covariance tuner. This tuner becomes effective after accumulating inertial measurement unit (IMU) data over time, enabling long-term error correction. The proposed approach is designed to complement other localization frameworks by gradually correcting accumulated localization errors using historical sensor readings. Additionally, we introduce a missing IMU data handling mechanism based on a long short-term memory (LSTM) network that reconstructs incomplete inertial measurements, ensuring the robustness of the framework under real-world conditions. Experimental results demonstrate that our method effectively reduces drift over time and significantly enhances localization performance. Compared to other inertial approaches, our method achieves an average reduction of 0.89% in relative translational error across all sequences. Notably, for sequences with missing values, it yields improvements of 5.09%, 1.21%, and 1.22%, respectively.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118928"},"PeriodicalIF":5.6,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057238","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}

{"title":"Remaining useful life prediction of lithium-ion batteries based on distribution of relaxation time measurement and its geometric resolution","authors":"Weiru Yuan,&nbsp;Shude Zhang,&nbsp;Shun Cheng,&nbsp;Hao Wu,&nbsp;Jianguo Wang","doi":"10.1016/j.measurement.2025.118954","DOIUrl":"10.1016/j.measurement.2025.118954","url":null,"abstract":"<div><div>The distribution of relaxation times (DRT) is a key element in characterizing the impedance spectrum of lithium-ion batteries and is significant for analyzing the internal aging mechanisms of batteries. However, traditional DRT measurement methods have limitations, including high complexity and difficulties in mechanism analysis. To address this, this paper proposes an innovative DRT method and implements it for predicting the remaining useful life (RUL) of lithium-ion batteries. By fitting the DRT curve’s four characteristic peaks using a Voigt function, we extract Geometric Health Indicators, providing intuitive and quantitative geometric markers for the battery’s degradation state. Focusing on the DRT measurement characterization, we combine it with an improved deep Gaussian process model to delve into the complex nonlinear characteristics of battery degradation, achieving precise predictions of battery RUL along with confidence interval estimates. This establishes an ”offline training – online prediction” engineering application paradigm. Experimental validation under various operating conditions demonstrates that this method exhibits excellent prediction accuracy (MAPE <span><math><mo>≤</mo></math></span> 1.5%) and robust performance (R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> <span><math><mo>≥</mo></math></span> 0.9). This research opens new pathways for analyzing battery degradation processes based on DRT measurements and provides reliable theoretical and methodological support for battery degradation modeling and predictive maintenance.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118954"},"PeriodicalIF":5.6,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044433","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}

{"title":"Internet of things-enabled active safe mining: architecture and case studies","authors":"Ya Liu ,&nbsp;Xiangjian Meng ,&nbsp;Kangjia Zhou ,&nbsp;Yusen Zhang","doi":"10.1016/j.measurement.2025.118987","DOIUrl":"10.1016/j.measurement.2025.118987","url":null,"abstract":"<div><div>Ensuring active safety in underground mining poses significant challenges due to harsh environmental conditions and limited communication infrastructure. This study proposes a four-layer mine Internet of Things (MIoT) architecture, comprising a sensing layer, edge computing layer, network layer, and application layer. Unlike conventional IoT frameworks, the proposed architecture assigns model training and optimization exclusively to the application layer, while lightweight models are deployed on edge nodes situated closer to the sensing layer. This design enables localized data processing, significantly reduces response latency, and serves as a critical mechanism for enhancing operational safety in underground settings. To validate the effectiveness and technical advantages of the proposed system, two representative case studies are conducted: motor bearing fault detection and methane concentration prediction. A hybrid model integrating recurrence plots with a cross-attention-based feature fusion network was deployed on edge devices, achieving real-time, high-accuracy, and low-latency analysis. The proposed MIoT framework effectively bridges the gap between generic IoT solutions and the domain-specific safety requirements of mining environments, offering a scalable and practical architecture for intelligent underground operations.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118987"},"PeriodicalIF":5.6,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044437","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}

{"title":"Twisted string actuators: Comprehensive review on modeling, design innovations, application advances, and future challenges","authors":"Monica Malvezzi ,&nbsp;Bhivraj Suthar ,&nbsp;Mihai Dragusanu","doi":"10.1016/j.measurement.2025.118824","DOIUrl":"10.1016/j.measurement.2025.118824","url":null,"abstract":"<div><div>Twisted string actuators (TSAs) have emerged as a promising class of soft actuators with diverse applications in fields such as robotics, biomedical engineering, and wearable technology. This review article provides an overview of recent advancements in TSA technology, discusses the challenges associated with their implementation, and explores potential future directions in research and development. Key topics covered include the working principles and mathematical models of TSAs, design solutions, materials selection, fabrication techniques, control, applications, limitations, and avenues for further innovation. By examining the current state of TSA research, this article aims to stimulate discussion and inspire new avenues of exploration in this exciting field.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118824"},"PeriodicalIF":5.6,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044427","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}

{"title":"Diverse gas recognition relying on a single carbon-based FET sensor with multielectrical parameters","authors":"Li Gong ,&nbsp;Lin Shi ,&nbsp;Bohao Liu ,&nbsp;Yong Zhang","doi":"10.1016/j.measurement.2025.118994","DOIUrl":"10.1016/j.measurement.2025.118994","url":null,"abstract":"<div><div>Discrimination of hazardous gases has attracted great interest in the field of pollution control. Limited by the few evaluation parameters of traditional chemiresistive gas sensor, the discriminate ability of multiple gas types via a single chemiresistive sensor faces challenges. Except a gas sensing array composed of multiple gas sensors, designing a single gas sensor that can obtain multiple evaluating parameters to discriminate gas species and concentration is crucial for the chip miniaturization and low power consumption. In this work, inspired by the abundant electrical parameters of field effect transistor (FET) that can be modulated by gases, a carbon-based FET gas sensor with semiconducting carbon nanotubes modified with Au nanoparticles as the channel/sensing materials was rationally designed. A feasible method was designed by extracting eight characteristic parameters from the transfer characteristic curve and using principal component analysis (PCA) to analyse the correlation between the gas and parameters. Results showed that the H₂, H₂S, NO₂ with five different concentrations were successfully identified via a single FET gas sensor. This work successfully presents a convenient and economical way for multiple gas discrimination, providing a blueprint for other analyte recognition fields.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118994"},"PeriodicalIF":5.6,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044284","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}

{"title":"Self-powered pressure monitoring system with novel switching techniques using piezoelectric energy harvester","authors":"Priyabrata Biswal ,&nbsp;Banibrata Mukherjee ,&nbsp;Sougata Kumar Kar","doi":"10.1016/j.measurement.2025.118926","DOIUrl":"10.1016/j.measurement.2025.118926","url":null,"abstract":"<div><div>In this work, a self-powered pressure monitoring system using piezoelectric energy harvester is proposed. The rotational vibration energy of a commercial motor vehicle is utilized, where the piezo harvester using <span><math><mrow><mi>S</mi><mi>E</mi><mi>H</mi></mrow></math></span> and <span><math><mrow><mi>S</mi><mi>S</mi><mi>H</mi><mi>I</mi></mrow></math></span> techniques are operated below 30 Hz, to demonstrate self-powered tire pressure monitoring system. With <span><math><mrow><mi>S</mi><mi>S</mi><mi>H</mi><mi>I</mi></mrow></math></span> circuit, the storage super capacitor is charged at a faster rate of 21.48 mV/min due to its energy loss compensation, whereas with conventional <span><math><mrow><mi>S</mi><mi>E</mi><mi>H</mi></mrow></math></span>, the charging rate is only 12.29 mV/min. Further, a novel low power switching and control circuit using pressure threshold detection is proposed, which holds strong potential to operate intermittently, reducing energy losses encountered typically in self-powered systems. Total average power dissipation through the operating circuit is observed to be 1.59 mW, out of which it consumes 915.14 <span><math><mi>μ</mi></math></span>W during active state. A prototype PCB is fabricated with integrated energy harvester, energy management unit, switching and control circuit along with pressure sensor and then tested and validated using vibration set-up as well as commercial motor vehicle. With predefined voltage levels, the self-powered TPMS circuit is operated for 11 min and 19 s in laboratory test-setup. While testing the prototype in the vehicle, it is observed to be operated for larger duration as long as super capacitor is charging from harvested energy with driving conditions. A comprehensive evaluation of the energy harvesting and switching circuit are characterized with respect to various speeds of vehicle and road conditions. Proposed self-powered based switching and control circuit can also operate for different industrial pressure monitoring applications.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118926"},"PeriodicalIF":5.6,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044537","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}

{"title":"A refined regional slant ionospheric model by considering the vertical delay effect for PPP-RTK","authors":"Junling Yang ,&nbsp;Kai Zheng ,&nbsp;Kezhong Liu ,&nbsp;Xiaohong Zhang ,&nbsp;Long Tang","doi":"10.1016/j.measurement.2025.118893","DOIUrl":"10.1016/j.measurement.2025.118893","url":null,"abstract":"<div><div>The performance of precise point positioning real-time kinematic (PPP-RTK) is significantly influenced by high-precision atmospheric delay corrections, particularly ionospheric delay corrections. Unlike the existing polynomial that are limited to the horizontal gradient effect, this study presents a novel slant ionospheric delay (SID) modeling method for regional ionosphere-augmentation PPP-RTK, which simultaneously accounts for horizontal gradient and vertical delay effects. This SID modeling method not only effectively mitigates ionospheric conversion errors caused by the imperfect elevation-dependent mapping functions but also considers the elevation-related vertical delay effects on SID modeling accuracy. To validate the effectiveness of this new method, two networks from France and Germany, with sizes of 800 × 1100 km and 200 × 100 km respectively, are employed. The results demonstrate a significant improvement in SID fitting accuracy compared to the traditional coordinate-based polynomial method. For the large-scale network, the fitting accuracy can be improved by 26.4 % to 1.81 cm, and for the small-scale network, it is enhanced from 1.28 cm to 0.88 cm. Moreover, the improvement is more pronounced over large inter-station distances and low elevation angles. The new method is further evaluated on PPP-RTK performance. For the large-scale network, the root-mean-square (RMS) values of GPS positioning errors are 0.82, 0.75, and 1.4 cm in the east, north, and up components, respectively, with an improvement of 18.0, 15.7, and 33.3 % over the Second-order polynomial method. The convergence time can be shortened from 4.2 to 2.7 epochs. With Galileo observations integrated, the convergence time drops to 1.5 epochs in the small-scale network. The RMS values of positioning error reach 0.50 cm for the horizontal component and 1.2 cm for the vertical component.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118893"},"PeriodicalIF":5.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044438","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}

{"title":"Measurement of the wood elastic modulus in millimeter-scale spatial resolution","authors":"Yinhang Ma ,&nbsp;Siyi Zou ,&nbsp;Hanqi Zhang ,&nbsp;Chao Ni ,&nbsp;Xiaohuan Wang ,&nbsp;Dong Jiang","doi":"10.1016/j.measurement.2025.118970","DOIUrl":"10.1016/j.measurement.2025.118970","url":null,"abstract":"<div><div>Vibration-based methods are commonly used to measure the elastic modulus of wood. However, traditional measurement techniques are limited to specimens at the decimeter scale, resulting in low spatial resolution of the elastic modulus testing. This paper proposes a method to quickly and accurately measure the elastic modulus of wood in millimeter-scale spatial resolution based on time-averaged electronic speckle pattern interferometry (TA-ESPI). An exciter consisting of a spring and a piezoelectric ceramic disc was designed to excite the wood cantilever beam specimen, avoiding the additional mass and stiffness introduced by traditional exciters attaching to the specimen. Harmonic response analysis for the wood specimen was conducted by finite element software to identify the smallest scale cantilever specimen that can respond to micrometer-level amplitudes, thus allowing the scales of the wood specimens cut from the base material to be reduced to millimeters, greatly enhancing the spatial resolution of the elastic modulus testing. Exponential error compensations are employed to eliminate the theoretical error caused by the scale effect. A TA-ESPI testing system was established for measuring the mode of wood specimens, which allows real-time monitoring of the wood cantilever specimen’s natural frequency and mode shape, avoiding the mismatch of mode shape and frequencies, thereby significantly improving testing efficiency. Three thin basswood boards were tested for experimental validation. The results revealed significant differences in the elastic modulus values measured for cantilever beam specimens from different base materials. These findings demonstrate the effectiveness of the proposed method in improving the spatial resolution of the elastic modulus.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118970"},"PeriodicalIF":5.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044431","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}

{"title":"Research on eddy current-based detection method for pipeline hard spots","authors":"Xinjiu Jin 金新玖,&nbsp;Lijian Yang 杨理践","doi":"10.1016/j.measurement.2025.118952","DOIUrl":"10.1016/j.measurement.2025.118952","url":null,"abstract":"<div><div>Hard spots are inevitably generated during the manufacturing and installation phases of long-distance pipelines. Among these, hard spots with higher hardness are more susceptible to factors such as hydrogen-induced cracking and sulfide stress corrosion cracking. To accurately identify hard spots in pipelines and evaluate their hardness, the influence of hardness on the electromagnetic properties of steel is analyzed. An eddy current-based method for pipeline hard spot detection<!--> <!-->is proposed. The effects of eddy current frequency, hardness, and external magnetic fields on detection results<!--> <!-->are systematically examined. The research findings indicate that an optimal detection effect is achieved at an eddy current frequency of 10 kHz. Under this condition, hard spots on the X70 steel plate can be stably identified, and the hardness of these spots can be estimated based on the impedance amplitude. As the hardness of a hard spot increases, so does the dislocation density, leading to greater impedance fluctuations. Within the hardness range of 410HV to 450HV, for every 20HV increase in hardness, the impedance amplitude increases by approximately 0.5 %. This detection method exhibits minimal interference from issues such as magnetic fields, moving speed, and equipment vibration. Furthermore, it can be integrated with magnetic flux leakage hard spot detection technology in the range of magnetic field intensity from 3 kA/m to 6 kA/m, demonstrating strong application potential.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118952"},"PeriodicalIF":5.6,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044533","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}

{"title":"MSST: A multi-scale spatio-temporal model for inter-subject continuous motion estimation","authors":"Xiaofeng Lin,&nbsp;Yurong Li,&nbsp;Nan Zheng,&nbsp;Jiyu Tan,&nbsp;Miaoqin Zhan","doi":"10.1016/j.measurement.2025.118953","DOIUrl":"10.1016/j.measurement.2025.118953","url":null,"abstract":"<div><div>Inter-subject continuous motion estimation using surface electromyography (sEMG) is essential in rehabilitation medicine, as it can substantially reduce the costs associated with personalized adjustments. In this study, we introduce a Multi‑Scale Spatio‑Temporal (MSST) model demonstrating excellent feature‑extraction capabilities. To enhance inter‑subject accuracy on small datasets, we combine the gradient harmonizing mechanism (GHM) with variational mode decomposition (VMD). To rigorously evaluate the model’s generalizability, we assess it under multiple conditions: intra‑subject and inter‑speed; inter‑subject and intra‑speed; and inter‑subject and inter‑speed scenarios. In every scenario, MSST gets top performance and outperforms state‑of‑the‑art models such as BioCNN‑T and Conv‑BiLSTM. We further validate our approach using the public Ninapro DB2 dataset. The model again yields superior performance across both intra‑subject and inter‑subject scenarios. In summary, our work proposes a robust framework for inter‑subject motion estimation from sEMG signals.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"257 ","pages":"Article 118953"},"PeriodicalIF":5.6,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145044539","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}