Measurement最新文献_第6页

A state-of-the-art-review of underground concrete sewage pipelines detection technologies 对地下混凝土污水管道探测技术的最新审查

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-19 DOI: 10.1016/j.measurement.2024.116268

Ying Ma , Shuang Wang , Gao Xin , Bin Li , Hongyuan Fang , Jianwei Lei , Xueming Du , Niannian Wang , Danyang Di

{"title":"A state-of-the-art-review of underground concrete sewage pipelines detection technologies","authors":"Ying Ma , Shuang Wang , Gao Xin , Bin Li , Hongyuan Fang , Jianwei Lei , Xueming Du , Niannian Wang , Danyang Di","doi":"10.1016/j.measurement.2024.116268","DOIUrl":"10.1016/j.measurement.2024.116268","url":null,"abstract":"<div><div>Concrete sewage pipelines constitute a critical component of urban underground lifeline systems within cities. However, due to congenital deficiencies (poor pipe quality, inadequate planning, and design, rough construction on site, etc.) and acquired loss of maintenance (multi-load and multi-defect coupling, complex geological and hydrological conditions, and outdated management approaches, etc.), the concrete sewage pipelines in early service suffer from serious aging and deterioration. Regular detection of these pipelines is crucial to timely assess their condition, which serves as a fundamental decision-making tool for utility management to identify maintenance opportunities and develop plans. This paper provides a comprehensive review of state-of-the-art review non-destructive detection techniques for concrete sewage pipelines, including quick view (QV), closed-circuit television (CCTV), sonar, ground penetrating radar (GPR), and panoramic laser. The principles, technical characteristics, advantages, drawbacks, evaluation methods, and application scenarios of each detection method are summarized and compared to provide reliable information for the selection of detection methods. In addition, some uncommon detection techniques, including focus electrode leakage detection technology, multi-sensor technology, infrared temperature recorder method, micro-deformation method, impact echo method, infrared thermal imaging technology, spontaneous polarization method, and pipeline scanning and evaluation technology (SSET) are also introduced. Finally, the technical standards for sewage concrete pipeline detection are combed, and the gaps and challenges in sewage concrete pipeline non-destructive testing are summarized.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116268"},"PeriodicalIF":5.2,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701402","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

WeldNet: An ultra fast measurement algorithm for precision laser stripe extraction in robotic welding

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-19 DOI: 10.1016/j.measurement.2024.116219

Chuyi Dai , Congcong Wang , Zhixuan Zhou , Zhen Wang , Ding Liu

{"title":"WeldNet: An ultra fast measurement algorithm for precision laser stripe extraction in robotic welding","authors":"Chuyi Dai , Congcong Wang , Zhixuan Zhou , Zhen Wang , Ding Liu","doi":"10.1016/j.measurement.2024.116219","DOIUrl":"10.1016/j.measurement.2024.116219","url":null,"abstract":"<div><div>The integration of laser vision sensors in robotic welding improves seam tracking accuracy, but welding noise poses significant challenges. Our research introduces WeldNet, enhances laser stripe extraction, significantly outperforming traditional and deep neural network (DNN) solutions in efficiency and measurement precision. WeldNet comprises lightweight modules for optimal feature extraction, including Multi-Part Channel Convolution (MPC) blocks, Parallel Shift Multilayer Perceptrons (PS-MLP), and Serial Shift MLP (SS-MLP). A specially designed data augmentation strategy is also integrated to address the complex noise encountered in robotic welding. Experimental results demonstrate WeldNet’s effectiveness in reducing welding noise interference, achieving a real-time processing speed of 145 FPS on RTX 2080 Ti GPU, approximately 5x faster than existing state-of-the-art methods. With a Dice coefficient of 87.52% and an IoU value of 77.82%, WeldNet not only enhances operational efficiency but also markedly improves precision in industrial robotic welding.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116219"},"PeriodicalIF":5.2,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744042","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 robust reference extraction method for shunt active power filters in the presence of noise and source voltage distortion 噪声和源电压畸变情况下并联有源电力滤波器的稳健基准提取方法

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116243

Abdallah El Ghaly , Mohamad Tarnini , Khaled Chahine

{"title":"A robust reference extraction method for shunt active power filters in the presence of noise and source voltage distortion","authors":"Abdallah El Ghaly , Mohamad Tarnini , Khaled Chahine","doi":"10.1016/j.measurement.2024.116243","DOIUrl":"10.1016/j.measurement.2024.116243","url":null,"abstract":"<div><div>Active filters are commonly employed to mitigate voltage and current distortions by rapidly responding to harmonic disturbances originating from the load side. However, the effectiveness of these filters depends on the accuracy of reference signal extraction, which is susceptible to measurement noise and source voltage distortion. This paper proposes an extraction method consisting of decomposing the distorted signal into its constituent harmonic components by the matrix pencil method, reconstructing the fundamental component from the estimated fundamental frequency and amplitude, and subtracting the fundamental component from the distorted signal to obtain the reference signal. The robustness of the proposed method to noise and source voltage distortion stems from the over-modeling technique of the matrix pencil method and its ability to extract the reference signal without a low-pass filter, which often introduces errors in phase shift and magnitude. Simulation scenarios developed in MATLAB/Simulink involving measurement noise, source disturbance, and asymmetrical loads are used to compare the performance of the proposed method with the instantaneous reactive power theory and synchronous reference frame methods. Additionally, an experimental prototype is developed to validate the effectiveness of the proposed method on real data. Analysis of simulation and experimental results shows that the proposed method outperforms the conventional methods in robustness to source distortions and measurement noise, as demonstrated by the total harmonic distortion, which is around 0.77 % for simulated data and 1.68 % for experimental data. These findings underscore the significant enhancement in the overall power filter performance facilitated by the proposed extraction method.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116243"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701795","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 measurement error prediction framework for smart meters in typical regions 典型地区智能电表测量误差预测框架

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116254

Chunyu Yu, Ning Sun, Jianwei Gao, Fanli Hong, Yang Guo

{"title":"A measurement error prediction framework for smart meters in typical regions","authors":"Chunyu Yu, Ning Sun, Jianwei Gao, Fanli Hong, Yang Guo","doi":"10.1016/j.measurement.2024.116254","DOIUrl":"10.1016/j.measurement.2024.116254","url":null,"abstract":"<div><div>The measurement error (ME) of smart meters (SMs) is a key index for assessing their performance, so accurate prediction of SMs’ ME is essential. However, SMs operate in all parts of the world, and the factors that impact the SMs’ ME differ across regions. Therefore, we propose a novel and general framework to predict the SMs’ ME. Firstly, we study the influence of environment stress on SMs’ ME by the Pearson correlation coefficient (PCC) and Least squares method (LSM), select the environment stresses that have a greater impact on SMs’ ME, and clean those environment data and SMs’ ME data by the Isolated Forest and Local Outlier Factor algorithm (IFLOF). Subsequently, a new method based on the Heap-Based Optimizer of Bi-directional Long Short-Term Memory network (HBO-BiLSTM) is proposed to predict the SMs’ ME. To illustrate the framework we proposed, the framework is compared with some well-known machine learning methods with field data collected from the high altitude regions, the results indicated that the framework has excellent prediction ability, which can provide technical support for health management of SMs in typical regions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116254"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701538","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 novel extraction method for combustion feature of CI engine in electric hybrid power based on engine instantaneous speed 基于发动机瞬时转速的电动混合动力 CI 发动机燃烧特征提取新方法

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116232

Tianxiang Wang, Tao Cui, Fujun Zhang, Jiawei Li

{"title":"A novel extraction method for combustion feature of CI engine in electric hybrid power based on engine instantaneous speed","authors":"Tianxiang Wang, Tao Cui, Fujun Zhang, Jiawei Li","doi":"10.1016/j.measurement.2024.116232","DOIUrl":"10.1016/j.measurement.2024.116232","url":null,"abstract":"<div><div>Hybrid power systems represent a crucial avenue for the advancement of vehicle power, offering a novel framework and context for the intelligent evolution of internal combustion engines. The governance of internal combustion engines stands as the cornerstone of power intelligence, with in-cylinder combustion control serving as a pivotal research focus within the realm of internal combustion engine regulation. The accurate assessment of cylinder state in hybrid power systems forms the foundation for effective in-cylinder combustion control. This paper introduces an approach to extract cylinder combustion state (cylinder work and CA50) based on instantaneous speed signals. First, the instantaneous speed signal undergoes processing using synthetic speed algorithms, followed by an evaluation of algorithm effectiveness. Subsequently, the theoretical derivation of the relationship between synthesized speed signals and cylinder state is established based on conservation of energy principles, leading to a method for extracting cylinder state. Finally, experimental validation is conducted at 270 steady-state operating points (varied speeds and load ratios) and 2 dynamic processes to verify prediction accuracy using the proposed method. The results demonstrate precise prediction capabilities for both cylinder work and CA50, with prediction errors falling within ≤10 % for CA50 and ≤9 % for cylinder work; moreover, 97 % of steady-state operating points exhibit error ranges within 5 % or less and the average error of dynamic process is 5 %.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116232"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701073","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 lightweight convolutional neural network super-resolution method to improve the quality of target image in space measurement tasks 在空间测量任务中提高目标图像质量的轻量级卷积神经网络超分辨率方法

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116242

Bingzan Liu , Yizhen Yang , Hongyu Chen

{"title":"A lightweight convolutional neural network super-resolution method to improve the quality of target image in space measurement tasks","authors":"Bingzan Liu , Yizhen Yang , Hongyu Chen","doi":"10.1016/j.measurement.2024.116242","DOIUrl":"10.1016/j.measurement.2024.116242","url":null,"abstract":"<div><div>With the rapid advancement of space technology, space target observation images have become an essential tool for the precise measurement and shape analysis of spacecraft. However, due to the challenging conditions of the space environment, these images often suffer from blurring and distortion, which hampers the effectiveness of spacecraft observation and measurement missions. Although recent progress has been made in super-resolution reconstruction techniques, the limited processing capacity of on-board equipment prevents the direct deployment of these high-complexity methods. In this paper, we propose an efficient and lightweight super-resolution reconstruction algorithm called the Pyramid Frequency-Aware Network for space target observation images. Specifically, we use a divide-and-conquer strategy to separately process low-frequency and high-frequency features, ensuring high-quality feature extraction while reducing the number of parameters. To further improve the model’s ability to capture edge and detailed texture information, we introduce a pyramidal wavelet decomposition and a multi-scale large separable kernel attention model. For high-frequency information, we design an enhanced fusion convolution block that facilitates multi-scale feature extraction and channel mixing. Furthermore, we have established a dataset of space target observation images, which can serve as a valuable reference for future studies on the reconstruction of such images. Extensive experimental results demonstrate that our Pyramid Frequency-Aware Network achieves an excellent balance between peak signal-to-noise ratio, structural similarity index, number of parameters, flops, and running time, both on public standard datasets and our self-built space target observation image dataset. Additionally, the network is lightweight enough to be deployed on resource-constrained equipment, such as satellites.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116242"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701536","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

Secondary measurement standard for calibration of dynamic pressure sensor to bridge the gap between existing static and dynamic standards 校准动态压力传感器的二级测量标准，弥补现有静态和动态标准之间的差距

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116253

Eynas Amer, Gustav Jönsson, Fredrik Arrhén

{"title":"Secondary measurement standard for calibration of dynamic pressure sensor to bridge the gap between existing static and dynamic standards","authors":"Eynas Amer, Gustav Jönsson, Fredrik Arrhén","doi":"10.1016/j.measurement.2024.116253","DOIUrl":"10.1016/j.measurement.2024.116253","url":null,"abstract":"<div><div>A secondary measurement standard filling the gap between the available static and dynamic standards was developed. The standard utilizes a quick-opening valve and bursting diaphragms to generate step-like pressures with amplitude of few kilopascals to 10 MPa and with frequency content from 10<sup>-2</sup> Hz to 800 Hz. An important design feature of the developed standard lies in the usage of aluminium diaphragms, allowing short rise times and high frequency content. The standard is based on two reference sensors, calibrated statically and dynamically. The reference sensors showed a linear dynamic response in the intermediate frequency range and was in good agreement with the static calibration results. Therefore, extrapolation of shock tube results was implemented. To demonstrate the capabilities of the developed standard, three pressure measurement systems were characterized, and their respective dynamic response was calculated. The results show that the developed standard can provide calibration information that are not currently available.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116253"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low velocity thermal anemometer with precise, digitally controlled temperature compensation 低速热风速仪具有精确的数字控制温度补偿功能

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116260

Zbigniew Popiolek, Maria Hurnik

引用次数: 0

Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising 利用 Mahalanobis 规范进行完全多变量去趋势波动分析，并将其应用于多变量信号去噪

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116142

Khuram Naveed , Naveed ur Rehman

{"title":"Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising","authors":"Khuram Naveed , Naveed ur Rehman","doi":"10.1016/j.measurement.2024.116142","DOIUrl":"10.1016/j.measurement.2024.116142","url":null,"abstract":"<div><div>Detrended fluctuation analysis (DFA) has become an important tool for the long-range correlation and local regularity fluctuation analysis of nonstationary time series data. While the method is well-established and well-understood for single time series data, its extensions for multivariate data (comprising multiple channels) are still emerging. A major challenge in that regard is to incorporate inherent inter-channel dependencies within the DFA analysis. We propose a novel method to address that challenge through Mahalanobis distance (MD) norm that provides an analytical way to incorporate covariance matrix within the computation of the proposed multichannel fluctuation function. Through analytical analysis and experimental results, we show that incorporation of cross-channel correlations within the fluctuation function makes the rendered long-range correlation analysis more accurate for the multivariate correlated data. Next, we next demonstrate the utility of the proposed generic multichannel DFA (GMDFA) within the multivariate signal denoising problem(s). To this end, our denoising approach first obtains data driven multiscale signal representation by multi-stage use of multivariate variational mode decomposition (MVMD) method. Then, proposed GMDFA is used to reject the predominantly noisy modes based on their randomness scores.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116142"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701403","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 multi-target regression-based method for multiple orders remaining completion time prediction in discrete manufacturing workshops 基于多目标回归的离散制造车间多订单剩余完成时间预测方法

IF 5.2 2区工程技术

Measurement Pub Date : 2024-11-17 DOI: 10.1016/j.measurement.2024.116231

Mingyuan Liu , Jian Zhang , Shengfeng Qin , Kai Zhang , Shuying Wang , Guofu Ding

{"title":"A multi-target regression-based method for multiple orders remaining completion time prediction in discrete manufacturing workshops","authors":"Mingyuan Liu , Jian Zhang , Shengfeng Qin , Kai Zhang , Shuying Wang , Guofu Ding","doi":"10.1016/j.measurement.2024.116231","DOIUrl":"10.1016/j.measurement.2024.116231","url":null,"abstract":"<div><div>Accurate prediction of multiple orders remaining completion time (MORCT) is crucial in the make-to-order production model. It enables managers to keep track of production status, make timely decisions, and ensure on-time delivery of orders. However, dynamic production environments, characterized by constantly changing order quantities and relationships, as well as the special temporal features of the production process, pose challenges to existing prediction methods. To address these issues, this paper proposes a novel framework based on multi-target regression. First, production data are collected and standardized from various sources using multiple data transfer protocols. The input dataset is then constructed and dynamically adjusted to accommodate changes in order quantities and priorities. Finally, a prediction model named DMTR-LSA is developed to effectively handle the specific temporal relationships in the production data by integrating long short-term memory (LSTM) and self-attention mechanisms. A case study in a real production workshop demonstrates that the proposed method supports simultaneous prediction of multiple orders. It outperforms existing methods on several evaluation metrics, reducing the average prediction error by more than 8.9%. These results highlight the practical value of the proposed method for predicting MORCT in dynamic production environments and its potential impact to enhance the production decision-making process.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116231"},"PeriodicalIF":5.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701406","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