Measurement最新文献

Stamping part surface crack detection based on machine vision

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-10 DOI: 10.1016/j.measurement.2025.117168

Xiaokang Ma , Zhengshui Kang , Chenghan Pu , Ziyu Lin , Muyuan Niu , Jun Wang

{"title":"Stamping part surface crack detection based on machine vision","authors":"Xiaokang Ma , Zhengshui Kang , Chenghan Pu , Ziyu Lin , Muyuan Niu , Jun Wang","doi":"10.1016/j.measurement.2025.117168","DOIUrl":"10.1016/j.measurement.2025.117168","url":null,"abstract":"<div><div>Cracks are the most common defects on the surface of stamping parts. Given the complex and varied structures of automotive stamping parts and their highly reflective surfaces, the current state-of-the-art methods lack effective automated inspection systems capable of precise online detection. Consequently, the identification of surface cracks in stamping parts on active stamping lines predominantly relies on manual visual inspection. However, this method is subjective, inefficient, and insufficient to meet the requirements for higher accuracy and detection rates. Therefore, this paper proposes a stamping part surface crack detection system based on machine vision. By devising an image acquisition module, high-resolution images of stamping parts are captured. Considering the strong reflectivity of the stamping part surface, an innovative gray-based contrast enhancement algorithm is proposed to adaptively balance the image contrast by comparing the grayscale values of the local window with the global image. To precisely locate and detect cracks, we design a novel crack online detection network (COD-Net), which is based on YOLOv9 as the backbone to improve detection efficiency and accuracy. This network incorporates the multi-scale crack attention (MCA) mechanism to obtain richer semantic information and more accurate feature representation. Notably, the crack detection context decoupling (CDCD) head is exploited in the detection head to improve localization accuracy and convergence speed. Moreover, we propose the CD-Loss, which introduces <span><math><mi>α</mi></math></span>-WIoU in the detection box loss function to enhance model performance and speed up convergence. Our method significantly improves recall and achieves an [email protected] of 99.3% on the test set compared with other state-of-the-art methods. Furthermore, our detection system has been successfully applied to an automotive stamping lines.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117168"},"PeriodicalIF":5.2,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

True random calibration method and application of tapped delay line-TDC with spontaneous parametric down-conversion system

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-09 DOI: 10.1016/j.measurement.2025.117240

Zhihan Jin , Bing Yu , Junwei Chu , Qing Kang , Jianjun Li

引用次数: 0

Efficient combination of deep learning models for solar panel damage and soiling detection

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-09 DOI: 10.1016/j.measurement.2025.117185

Hassan N. Noura , Khaled Chahine , Jad Bassil , Jad Abou Chaaya , Ola Salman

{"title":"Efficient combination of deep learning models for solar panel damage and soiling detection","authors":"Hassan N. Noura , Khaled Chahine , Jad Bassil , Jad Abou Chaaya , Ola Salman","doi":"10.1016/j.measurement.2025.117185","DOIUrl":"10.1016/j.measurement.2025.117185","url":null,"abstract":"<div><div>Solar panels are essential for converting sunlight into electricity. Still, environmental factors can significantly compromise their efficiency and performance, particularly the accumulation of soiling on their surfaces or damage. This study proposes a hybrid model comprising an ensemble of deep-learning models to distinguish between soiled and damaged solar panels and their corresponding conditions. Our approach utilizes pre-trained deep learning models, fine-tuned for detecting soiling or damage on photovoltaic (PV) panels, to extract relevant features and build efficient classifiers. Introducing a post-processing ensemble model improves classification metrics compared to a single deep-learning model. Combining Convolutional Neural Networks and Vision Transformers in an ensemble model achieves the highest accuracy, with 96.3% for damage and soiling detection and 91.8% for damage and soiling type identification. These results significantly outperform one-tier deep learning models, which attain an accuracy of 87.7% when classifying all possible damage and soiling categories.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117185"},"PeriodicalIF":5.2,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Realization of ultramicropore characterization of activated charcoal by cryogenic helium adsorption technique

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-09 DOI: 10.1016/j.measurement.2025.117243

Cheng Chen , Zhaoxi Chen , Rui Hu , Qingxi Yang , Sihui Wang , Kexin Lin

{"title":"Realization of ultramicropore characterization of activated charcoal by cryogenic helium adsorption technique","authors":"Cheng Chen , Zhaoxi Chen , Rui Hu , Qingxi Yang , Sihui Wang , Kexin Lin","doi":"10.1016/j.measurement.2025.117243","DOIUrl":"10.1016/j.measurement.2025.117243","url":null,"abstract":"<div><div>In this paper, an effective experimental approach has been developed and tested to measure the adsorption characteristics of activated charcoals within the temperature range of 4.2 K-100 K. The experiment of 4.5 K helium adsorption was conducted on an activated charcoal sample and the data was analyzed by Brunauer-Emmett-Teller (BET), Dubinin-Radushkevich (DR), and Horvath-Kawazoe (HK) methods, yielding the greater BET surface area (<span><math><msub><mi>S</mi><mrow><mi>BET</mi></mrow></msub></math></span>) and micropore volume (<span><math><msub><mi>V</mi><mrow><mi>micro</mi></mrow></msub></math></span>) compared to the nitrogen adsorption isotherm at 80 K. The results show that using helium (He) as a probe can better characterize the surface characteristics of activated charcoal than nitrogen (N<sub>2</sub>) probe, especially for ultramicropores that cannot be assessed by N<sub>2</sub> molecules. Consequently, we suggest the He adsorption method as a tool with great promise for reliable and detailed characterization of micropore characteristic parameters about activated charcoals. These results will be utilized to determine the adsorption performance of the adsorbent in cryosorption pumps.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117243"},"PeriodicalIF":5.2,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State of charge estimation for lithium-ion batteries with enhanced open-circuit voltage model

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-09 DOI: 10.1016/j.measurement.2025.117124

Yunsheng Fan , Zhiwu Huang , Heng Li , Muaaz Bin Kaleem , Rui Zhang , Weirong Liu

{"title":"State of charge estimation for lithium-ion batteries with enhanced open-circuit voltage model","authors":"Yunsheng Fan , Zhiwu Huang , Heng Li , Muaaz Bin Kaleem , Rui Zhang , Weirong Liu","doi":"10.1016/j.measurement.2025.117124","DOIUrl":"10.1016/j.measurement.2025.117124","url":null,"abstract":"<div><div>State of charge (SOC) estimation for lithium-ion batteries encounters significant challenges under dynamic current conditions, partially due to the variations of open-circuit voltage (OCV) caused by dynamic conditions. To address this issue, this paper proposes an SOC estimation with an enhanced OCV model by taking the SOC, current, and temperature into account. A hybrid battery model is designed by integrating the OCV model and the equivalent circuit model, where the identification of equivalent impedance parameters and OCV modeling are processed separately. The equivalent circuit parameters are determined by using subspace identification techniques with differential voltage signals. Afterwards, a data-driven OCV model is trained with the Gaussian process regression, which is updated using dynamic load data. With the proposed OCV model, an adaptive cubature Kalman filter algorithm is applied to estimate the SOC of batteries in dynamic current conditions. Finally, extensive experimental results demonstrate that the proposed method outperforms classical OCV model-based SOC estimation methods across different current and temperature situations. The proposed method achieves an average root mean square error (RMSE) of 0.56%, reducing over 37.1% in RMSE compared to other methods.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117124"},"PeriodicalIF":5.2,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncertainty analysis of workpiece orientation: A mathematical decision support system for circular geometry measurements

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-08 DOI: 10.1016/j.measurement.2025.117232

Sowrabh Kugunavar , Kuldip Singh Sangwan

{"title":"Uncertainty analysis of workpiece orientation: A mathematical decision support system for circular geometry measurements","authors":"Sowrabh Kugunavar , Kuldip Singh Sangwan","doi":"10.1016/j.measurement.2025.117232","DOIUrl":"10.1016/j.measurement.2025.117232","url":null,"abstract":"<div><div>The article aims at quantifying and controlling the measurement uncertainties contributed by the workpiece orientation during the automated inspection of a circular geometry by using Coordinate Measuring Machines. The paper proposes a mathematical model to compute angular error and circular variance to quantify and minimize the measurement uncertainty associated with the workpiece orientation. The proposed methodology involves part programming, acquisition of the raw coordinate data points through experiments, identification of the potential factors influencing measurement results, development of the mathematical model to estimate and correct measurement uncertainties, and finally supports the user to minimize the variations in the measurement results. It was found that diameter, circularity and centroid measurements are affected by the workpiece orientation and probe start position has a significant effect on the measurement results. The proposed model reduced uncertainties as the data tends to spread uniformly along the geometric feature. The overall measurement results improved by 12 %.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"250 ","pages":"Article 117232"},"PeriodicalIF":5.2,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Theoretical modeling and characterization of equivalent magnetic properties in laminated composite magnetic shielding

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-08 DOI: 10.1016/j.measurement.2025.117237

Xueping Xu , Lei Wang , Wei Liu , Zhenkai Zhao

{"title":"Theoretical modeling and characterization of equivalent magnetic properties in laminated composite magnetic shielding","authors":"Xueping Xu , Lei Wang , Wei Liu , Zhenkai Zhao","doi":"10.1016/j.measurement.2025.117237","DOIUrl":"10.1016/j.measurement.2025.117237","url":null,"abstract":"<div><div>Compared to conventional magnetic shielding devices, the laminated composite shielding device composed of permalloy and nanocrystalline (PN-LCSD) has better static and low-frequency magnetic field shielding performance, ensuring the normal operation of ultrahigh-sensitivity sensors. However, the multi-thin layer characteristic of PN-LCSD presents significant challenges in evaluating its magnetic properties through analytical methods or simulation, which hinders the shielding performance analysis of PN-LCSD. Therefore, this paper proposes a theoretical model for the equivalent magnetic properties of PN-LCSD. Using the equivalent circuit method and geometric parameter analysis, the model derives equations for the equivalent permeability and shielding factor (SF) of PN-LCSD, resolving mesh-generation and convergence issues in performance analysis caused by its multi-thin layer characteristic and offering the analytical solution for its magnetic properties. Multiple experiments show that the maximum deviations between the analytical and experimental remanence and SF are only 6.48% and 5.78%, respectively. The model proposed in this study provides an effective theoretical support for the performance analysis and structural design of PN-LCSD.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117237"},"PeriodicalIF":5.2,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A study on the dynamic behavior of plasma plume in laser deep penetration welding of A304 stainless steel based on three-probe detection

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-08 DOI: 10.1016/j.measurement.2025.117209

Hanbo Zhang , Lijun Yang , Yiming Huang

{"title":"A study on the dynamic behavior of plasma plume in laser deep penetration welding of A304 stainless steel based on three-probe detection","authors":"Hanbo Zhang , Lijun Yang , Yiming Huang","doi":"10.1016/j.measurement.2025.117209","DOIUrl":"10.1016/j.measurement.2025.117209","url":null,"abstract":"<div><div>In laser deep penetration welding process, the generation of laser-induced plasma exhibits strong randomness and time-varying characteristic. The electrical signal acquisition devices can obtain large samples of thermodynamic information with high acquisition frequency, which is suitable for an integrated analysis of plasma behavior by electrical signals. A new type of passive three-channel acquisition device was designed to acquire plasma electrical signals containing information about the thermodynamics of the plasma. After processing and analyzing the electrical signals, the temperature change rate of plasma eruption was primarily distributed in the range of 600–3000 K/ms, and the temperature change rate of plasma sway was mainly distributed in the range of 60–700 K/ms. Based on the significant difference in the temperature change rate of plasma eruption and sway, the dynamic behavior of the plasma was accurately clustered by Gaussian Mixture Modeling (GMM), a method of clustering analysis, which showed the best clustering performance compared to K-means and spectral clustering. The results showed that the frequency of plasma eruption was mainly concentrated in the range of 640–1420 Hz, and the frequency of plasma sway was mainly in the range of 620–1040 Hz. The ranges in the frequency of plasma sway were smaller than plasma eruption.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"250 ","pages":"Article 117209"},"PeriodicalIF":5.2,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A computer vision-based real-time monitoring method for swivel bridges spatial rotation

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-08 DOI: 10.1016/j.measurement.2025.117236

Bei Liu , Ning-Bo Wang , Can Wang , Hua-Ping Wan

{"title":"A computer vision-based real-time monitoring method for swivel bridges spatial rotation","authors":"Bei Liu , Ning-Bo Wang , Can Wang , Hua-Ping Wan","doi":"10.1016/j.measurement.2025.117236","DOIUrl":"10.1016/j.measurement.2025.117236","url":null,"abstract":"<div><div>The swivel construction of bridges is widely used in engineering projects that cross existing railway lines and obstacles with challenging traffic conditions. Monitoring the spatial rotation of swivel bridge is crucial during the swivel construction process. Existing monitoring methods for swivel bridges typically rely on dial indicators or total stations, which can hardly provide accurate and real-time measurements. This paper proposes a measurement approach for the spatial rotation of swivel bridges, realizing real-time, high-precision and continuous monitoring. The main contributions include: (1) A novel measurement algorithm for spatial attitude transformation is developed based on monocular vision, which innovatively utilizes a three-dimensional orthogonal cursor target as the visual input. The mathematical relationship between the spatial pose and the planar projection of cursor target is established and the coordinate system transformation matrices are constructed. (2) By incorporating a hybrid image preprocessing technique and a feature-constrained fitting optimization algorithm, the cursor target feature can be accurately and effectively identified from images. Numerical simulations are conducted to analyze the factors and validate the robustness of the proposed spatial rotation measurement methodology. The effectiveness of the proposed approach is verified through a laboratory experiment.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"250 ","pages":"Article 117236"},"PeriodicalIF":5.2,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent identification for subgrade disease based on multi-source data

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-07 DOI: 10.1016/j.measurement.2025.117200

Zhiheng Cheng, Xiuguang Song, Jianzhu Wang, Cong Du, Jianqing Wu

{"title":"Intelligent identification for subgrade disease based on multi-source data","authors":"Zhiheng Cheng, Xiuguang Song, Jianzhu Wang, Cong Du, Jianqing Wu","doi":"10.1016/j.measurement.2025.117200","DOIUrl":"10.1016/j.measurement.2025.117200","url":null,"abstract":"<div><div>Subgrade disease reduces the load-bearing capacity and service life of the road, increasing safety risks and maintenance costs. To address this issue, a novel method for identifying subgrade diseases using surface dynamic load recognition has been proposed. This method employs the iTransformer-LSTM algorithm, which incorporates an attention mechanism to regress soil pressure within the road structure based on surface dynamic load data. Subsequently, the classified soil pressure data obtained through an elastic neural network enables the identification of specific types of subgrade diseases, thereby achieving the objective of recognizingsubgrade disease types directly from surface dynamic load data. This study enhances the regression and classification capabilities for subgrade diseases by integrating the iTransformer-LSTM regression module based on attention mechanisms and an elastic neural network classification algorithm. The results indicate that the model effectively regresses the distribution and developmental trends of soil pressure data based on surface load and displacement data, with a regression accuracy exceeding 95%. Furthermore, the predicted soil pressure data is classified with an accuracy of over 96%, enabling the identification of specific subgrade disease types. Simultaneously, this algorithm allows for the rapid and accurate recognition of subgrade disease types. This research presents a new approach for the prevention and treatment of subgrade diseases, which has significant implications for the sustainable development of road infrastructure.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"251 ","pages":"Article 117200"},"PeriodicalIF":5.2,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0