MeasurementPub Date : 2025-09-27DOI: 10.1016/j.measurement.2025.119109
Dailys Arronde Pérez , Hubert Zangl
{"title":"Advanced signal processing using automated uncertainty propagation—An educational approach","authors":"Dailys Arronde Pérez , Hubert Zangl","doi":"10.1016/j.measurement.2025.119109","DOIUrl":"10.1016/j.measurement.2025.119109","url":null,"abstract":"<div><div>Automated uncertainty propagation (AUP) is a powerful tool that enables a shift in focus from computation to the interpretation and analysis of the uncertainty. A teaching concept based on a software toolbox for automated uncertainty propagation has been previously developed. This work extends that concept towards the use of uncertainty in statistical signal processing, where two advanced techniques, Bayesian Estimation and Compressive Sensing are presented in the context of uncertainty propagation. The Bayesian Linear Minimum Mean Square Estimation (BLMMSE) is introduced with AUP. It is demonstrated that concepts like the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF) are easily implemented following the same approach as for the already introduced uncertainty quantification, since the toolbox supports linearization, Unscented Transform and Monte Carlo methods and the code for these variants is compact and equivalent. Additionally, the uncertainty analysis of signals and parameters reconstructed from compressed measurements can be easily assessed, as well as the impact of uncertainty in the expected performance of the recovery technique. This approach facilitates the integration of complex topics—such as late fusion, posterior state estimation or sparse recovery—into measurement science education. Its applicability is demonstrated through three examples, highlighting the benefits of the Unscented Transform method for AUP in sensor and data fusion.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119109"},"PeriodicalIF":5.6,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221652","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}
MeasurementPub Date : 2025-09-27DOI: 10.1016/j.measurement.2025.119126
Mingming Lu , Jiafa Liu , Yongsheng Du , Yanbin Hou , Jieqiong Lin
{"title":"Pseudo-random path planning for rotationally symmetric aspheric polishing based on the removal of regional overlap rate","authors":"Mingming Lu , Jiafa Liu , Yongsheng Du , Yanbin Hou , Jieqiong Lin","doi":"10.1016/j.measurement.2025.119126","DOIUrl":"10.1016/j.measurement.2025.119126","url":null,"abstract":"<div><div>Uniform polishing of rotationally symmetric aspheric optical elements has long been a challenge, especially in cases of uneven curvature. Traditional fixed-spacing random paths often result in insufficient coverage and uneven surface quality. To address this issue, the article proposes a pseudo-random path planning method based on removal of regional overlap rates. According to the surface shape and curvature changes of the rotationally symmetric non-spherical surface, a path point set is obtained for achieving an equal overlap rate distribution. Moreover, the path search algorithm is optimized by adjusting the weights of the path points, allowing the paths to precisely converge at the predetermined positions. A two-layer acceleration architecture is established, including the inputting algorithm and the blocking strategy to improve the efficiency of path generation; The integrated angular velocity control module compensates for curvature differences, ensuring consistent removal depth at all locations. The experimental results show that the surface roughness variance obtained by the proposed method is only 2.49 × 10<sup>−7</sup> μm<sup>2</sup>, which is significantly lower than the 3.25 × 10<sup>−4</sup> μm<sup>2</sup> obtained by the traditional fixed-spacing random path method, thereby validating the uniform coverage and efficient path generation of this method in polishing rotationally symmetric aspherical surfaces. This research provides new theoretical insights and practical approaches for improving the surface quality of ultra-precision optical processing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119126"},"PeriodicalIF":5.6,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183761","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}
MeasurementPub Date : 2025-09-27DOI: 10.1016/j.measurement.2025.119101
Xin He , Gang Zhang , Dazhi Yang , Lixin Wang , Zhuowei Han , Alistair Duffy
{"title":"Non-invasive measurement of cable scattering parameters using dual inductive probes","authors":"Xin He , Gang Zhang , Dazhi Yang , Lixin Wang , Zhuowei Han , Alistair Duffy","doi":"10.1016/j.measurement.2025.119101","DOIUrl":"10.1016/j.measurement.2025.119101","url":null,"abstract":"<div><div>The scattering parameters of a cable can provide insights into its transmission and reflection characteristics, particularly for high-frequency signals. By analyzing these parameters, the health status of the cable may be assessed. Scattering parameters are typically obtained offline through invasive measurements. As such, this work outlines a non-invasive method for measuring cable scattering parameters using a dual inductive probe—because there is no physical connection between the test equipment and the cable, measurements can be performed in an online fashion. More importantly, this method requires no modifications to the existing configuration or impedance adaptation of the cable, making it suitable for a wide range of cable types. By accounting for the signal transmission characteristics of the probe, the proposed method can de-embed the probe response from the test results, ensuring that the non-invasive measurements are equivalent to those obtained via the traditional invasive methods. Experimental results demonstrate that the proposed method is applicable to RG58 cable, RVV cable, and twisted pairs. Beyond measuring the scattering parameters, the proposed configuration can also be adapted for impedance measurements.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119101"},"PeriodicalIF":5.6,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222406","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}
MeasurementPub Date : 2025-09-27DOI: 10.1016/j.measurement.2025.119158
Ebisa Kejela Melka , Shrutidhara Sarma
{"title":"FlexSwipe: Flexible multi-element touch sensing system and temporal shape analysis for complex swipe recognition","authors":"Ebisa Kejela Melka , Shrutidhara Sarma","doi":"10.1016/j.measurement.2025.119158","DOIUrl":"10.1016/j.measurement.2025.119158","url":null,"abstract":"<div><div>Advances in complex gesture recognition rely heavily on precise touch sensing patches that accurately interpret user movements. However, reliably distinguishing complex gestures that share similar shapes, durations or pressure variations remain challenging and requires robust technological approaches. This study presents a complete framework that combines a custom-built, flexible, multi-element touch sensing patch with machine learning (ML) to detect and classify complex gestures such as “circular_swipe”, “zigzag_swipe”, “figure_eight”, and “spiral_swipe”. High resolution time-series signals were captured from multiple sensing elements by executing slow and fast swipe gestures. Dynamic Time Warping (DTW) was used for analyzing shape similarity and heatmap generation, while Continues Wavelet Transform (CWT) was applied for time–frequency feature extraction. DTW-heatmaps and CWT-scalograms were used as input features for ML models to learn gesture-specific energy patterns. While traditional ML algorithms performed reasonably well, Convolutional Neural Network (CNN) demonstrated a more robust capability for dynamic gesture classification. Confusion matrices revealed that the system achieved an accuracy of 92 % and 88 % for slow and fast swipe gestures, respectively. Our work demonstrates the potential of combining signal shape analysis with deep learning for advancing touch-based assistive technologies that enable low-effort, intuitive control for individuals with limited mobility.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119158"},"PeriodicalIF":5.6,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222307","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}
MeasurementPub Date : 2025-09-26DOI: 10.1016/j.measurement.2025.119111
Keunyoung Park, Joonsuk Kim, Hee Su Kim
{"title":"Quantifying the control lever displacement of construction equipment via QR code detection","authors":"Keunyoung Park, Joonsuk Kim, Hee Su Kim","doi":"10.1016/j.measurement.2025.119111","DOIUrl":"10.1016/j.measurement.2025.119111","url":null,"abstract":"<div><div>There is an increasing need to analyze the operational characteristics of construction equipment. Thus, it is important to closely extract each operating process of construction equipment. However, owing to the nature of construction equipment, it is difficult to extract all their movements because they have many joints and occluded areas. In this paper, we propose a system and method for quantifying the displacement of a control lever to sense the operating processes of construction equipment. Quick response (QR) codes were attached to the control lever and recognized by a camera to quantify the displacement of the control lever. This system has the advantages of easy installation and low cost because it only requires printed QR codes and an indoor camera. We verified that the position of the control lever is numerically reflected when the control lever moves from top to bottom using an electric forklift. We also confirmed that the displacement of the control lever is derived by performing actual forklift operations. Experimental videos quantifying the movement of the control lever as displacement can be viewed at: <span><span>https://github.com/981boxster/qrQuantifier</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119111"},"PeriodicalIF":5.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183702","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":"Machine-to-machine systems for data acquisition and measurement with self-validation for the digital metrology transition","authors":"Gustavo Esteves Coelho, Álvaro Silva Ribeiro, Catarina Simões, Alexandre Pinheiro","doi":"10.1016/j.measurement.2025.119149","DOIUrl":"10.1016/j.measurement.2025.119149","url":null,"abstract":"<div><div>This paper introduces a methodological framework for developing an autonomous system that minimizes human involvement within a measurement chain. The approach integrates data acquisition, metadata retrieval, and processing within a Machine-to-Machine (M2M) communication paradigm, thereby substantially minimizing manual operations throughout the workflow. To safeguard data integrity and detect unintended corruption during M2M exchanges, a data self-validation mechanism is introduced. Aligned with the Industry 5.0 vision—which emphasizes advanced data management and intelligent machine communication—the proposed approach contributes to the ongoing digital transformation of metrology, namely, through the implementation of Digital Calibration Certificates (DCC), promoting seamless and automated exchange of measurement data. The system was successfully applied to an experimental remote meteorological station, enabling fully autonomous measurement, validation, and data storage using DCC.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119149"},"PeriodicalIF":5.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221650","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}
MeasurementPub Date : 2025-09-26DOI: 10.1016/j.measurement.2025.119160
Hexin Cui , Junzhe Bu , Zhichun Zhang , Jiaze He , Yanju Liu , Jinsong Leng
{"title":"An absolute stress evaluation method based on the lamb waves time-frequency spectrum and residual network for alleviating the effects of inconsistent coupling conditions","authors":"Hexin Cui , Junzhe Bu , Zhichun Zhang , Jiaze He , Yanju Liu , Jinsong Leng","doi":"10.1016/j.measurement.2025.119160","DOIUrl":"10.1016/j.measurement.2025.119160","url":null,"abstract":"<div><div>Existing ultrasound-based stress evaluation methods mainly rely on the linear relationship between stress and a single time-domain feature, such as time of arrival (TOA). However, the experiments in this study reveal that adhesive layer inconsistencies can lead to variations in these features, particularly TOA, which may be misinterpreted as stress changes, causing significant errors in absolute stress evaluation. Therefore, a new absolute stress evaluation method that combines the Lamb wave time–frequency spectrum with the residual network (LwTFS-ResNet) is developed, which can alleviate the effect of adhesive layer inconsistencies. This model is pre-trained using a theoretical dataset generated based on the acoustoelasticity theory and a time-domain wave packet model. Once pre-trained, this model requires only a small training dataset measured from a single experimental specimen for final training. Mounting the piezoelectric wafers onto a testing specimen where stress is measured often contains variations related to the adhesive layer. The absolute stress evaluation experiments were conducted using both the LwTFS-ResNet method and the traditional TOA-based method. Adhesive layer inconsistencies caused errors in the TOA-based absolute stress measurement results (max error: 31.40 MPa, root mean square error (RMSE): 29.85 MPa), while the proposed method reduced the max error to 7.83 MPa and RMSE to 4.93 MPa, respectively. This demonstrates that the LwTFS-ResNet effectively mitigates the impact of adhesive layer inconsistencies, significantly improving the accuracy and stability of absolute stress measurements.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119160"},"PeriodicalIF":5.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222314","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}
MeasurementPub Date : 2025-09-26DOI: 10.1016/j.measurement.2025.119148
Xianpeng Zhang , Xiaojian Zhang , Xu Zhang , Yijun Shen , Tao Ling , Dawei Tu
{"title":"Composite error modeling and optimized proportional compensation method for CMM based on DPCNN and key error analysis","authors":"Xianpeng Zhang , Xiaojian Zhang , Xu Zhang , Yijun Shen , Tao Ling , Dawei Tu","doi":"10.1016/j.measurement.2025.119148","DOIUrl":"10.1016/j.measurement.2025.119148","url":null,"abstract":"<div><div>Addressing the complexity of composite error coupling modeling and compensation for coordinate measuring machines (CMM), this paper proposes a collaborative optimization method for error element modeling and compensation. Traditional composite error models typically separate and integrate errors using function approximation approaches, which result in limited prediction accuracy under varying temperature conditions. As a result, a deep pyramid convolutional neural network (DPCNN) model is constructed. It achieves a nonlinear mapping from position and temperature parameters to composite errors. The complexity and low accuracy issues of composite error modeling are resolved. To address the limitations of conventional coupling effect evaluation methods, an improved sensitivity analysis method is employed to quantify error coupling effects. Geometric errors are classified based on first-order sensitivity. It avoids issues arising from small differences between total and first-order indices that hinder the evaluation of coupling effects. The improved method enables a clearer analysis of coupling effects while reducing computational complexity and cost. To mitigate the influence of error coupling and enhance compensation efficiency and accuracy, an error proportion compensation approach is proposed. The compensation ratio is calculated using the error distribution characteristics output by the DPCNN, thereby enabling targeted adjustment of key error components. Experimental results show that this strategy enhances compensation accuracy while reducing the number of compensation terms. Compared with traditional methods, the compensation accuracy is improved by 48.42%. This study demonstrates the practical impact of precise error modeling on compensation strategies and provides a systematic solution for multi-source coupled error analysis.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119148"},"PeriodicalIF":5.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221655","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}
MeasurementPub Date : 2025-09-26DOI: 10.1016/j.measurement.2025.119043
Abdallah Moubayed
{"title":"Flow anomaly detection in harsh industrial environments: A data analytics & machine learning approach","authors":"Abdallah Moubayed","doi":"10.1016/j.measurement.2025.119043","DOIUrl":"10.1016/j.measurement.2025.119043","url":null,"abstract":"<div><div>Monitoring flow conditions has garnered increased attention with the corresponding increase in pipeline usage and deployment, particularly in industrial settings. More specifically, detecting liquid flow anomalies and disturbances has become a pressing challenge to both governmental and industrial stakeholders due to the associated financial losses and safety concerns it causes. This issue is further highlighted in industrial and manufacturing environments. For example, a fluid flow disturbance in an industrial facility can cause a significant explosion that would threaten both the facility and its operators. One promising approach to adopt is the use of data analysis (DA) and machine learning (ML) algorithms due to their effectiveness in illustrating the behavior of flow anomalies and detecting them in environments such as water transportation systems and underground pipelines. This work proposes a DA and ML-based approached to better understand the characteristics and detect flow anomalies in industrial-installed pipelines. As such, this work first proposes the use of Short-Time Fourier Transform to visualize the variation of the transmitted signal power measured for different frequency components over time. Then, representative and relevant features are extracted, normalized, and fed as input to four different supervised ML classification algorithms for flow anomaly detection. To evaluate the performance of the proposed framework, a real-word dataset collected through an industrial partner representing different working conditions is used. Experimental results show that the proposed ML-based flow anomaly detection framework achieves high accuracy, precision, and recall values. This illustrates the framework’s effectiveness in detecting anomalies in such harsh industrial environments.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119043"},"PeriodicalIF":5.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183765","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}
MeasurementPub Date : 2025-09-26DOI: 10.1016/j.measurement.2025.119116
Cristiano Márcio Alves de Souza , Leidy Zulys Leyva Rafull , Daniel Marçal de Queiroz , Larissa Porto Ale , Leonardo França da Silva , Fernando Mateus Paniagua Mendieta , Victor Crespo de Oliveira
{"title":"Modeling and simulating the harvester header dynamics using 3-way valve and PID controller","authors":"Cristiano Márcio Alves de Souza , Leidy Zulys Leyva Rafull , Daniel Marçal de Queiroz , Larissa Porto Ale , Leonardo França da Silva , Fernando Mateus Paniagua Mendieta , Victor Crespo de Oliveira","doi":"10.1016/j.measurement.2025.119116","DOIUrl":"10.1016/j.measurement.2025.119116","url":null,"abstract":"<div><div>This study presents the modeling and simulation of an automatic header height control system for combine and sugarcane harvesters, based on a simplified electrohydraulic configuration using a three-way proportional valve and a single-acting actuator. A proportional-integral-derivative (PID) controller was employed to adjust the valve spool position according to the error between a reference and the measured contact force. The system dynamics were described by nonlinear differential equations and numerically solved using the Runge-Kutta method implemented in a simulation environment. The simulations were conducted under realistic field conditions, combining three supply pressures (6.8, 13.7, and 20.6 MPa), three forward speeds (1.0, 1.5, and 2.0 m s<sup>−1</sup>), and three platform ballast masses (40, 60, and 80 kg). The results demonstrated that the PID controller maintained stable behavior and accurate force tracking in most scenarios. However, a performance threshold was identified: under the most demanding condition (2.0 m s<sup>−1</sup>, 6.8 MPa, and 80 kg), the mean relative error exceeded 40 %, indicating a limitation in control capacity. The proposed system proved to be a low-cost and effective alternative to traditional four-way valve architectures, providing satisfactory performance in typical operating conditions. These findings support the practical adoption of simplified control strategies in agricultural machinery and provide a validated simulation framework for pre-deployment testing and parameter optimization.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"258 ","pages":"Article 119116"},"PeriodicalIF":5.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269151","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}