Measurement Science and Technology最新文献_第2页

Few-Shot Detection of Surface Roughness of Workpieces Processed by Different Machining Techniques 用不同加工技术加工工件的表面粗糙度微量检测

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-10 DOI: 10.1088/1361-6501/ad1d2e

Huaian Yi, Xiao Lv, Ai-qin Shu, Hao Wang, Kai Shi

{"title":"Few-Shot Detection of Surface Roughness of Workpieces Processed by Different Machining Techniques","authors":"Huaian Yi, Xiao Lv, Ai-qin Shu, Hao Wang, Kai Shi","doi":"10.1088/1361-6501/ad1d2e","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1d2e","url":null,"abstract":"\u0000 The traditional deep learning method for detecting workpiece surface roughness relies heavily on a large number of training samples. Also, when detecting the surface roughness of workpieces processed by different machining techniques, it requires a large number of samples of that workpiece to rebuild the model. To address these problems, this paper proposes a few-sample visual detection method for the surface roughness of workpieces processed by different techniques. This method first trains a base model using a relatively large amount of samples from one machining technique, then fine-tunes the model using small amounts of samples from workpieces of different techniques. By introducing contrastive proposal encoding into Faster R-CNN, the model's ability to learn surface features from small amounts of workpiece samples is enhanced, thus improving the detection accuracy of surface roughness of workpieces processed by different techniques. Experiments show that this method reduces the model's dependence on training samples and the cost of data preparation. It also demonstrates higher accuracy in surface roughness detection tasks of workpieces processed by different techniques, providing a new approach and insights for few-sample surface roughness detection.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"4 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139440037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Design and analysis of parallel six-dimensional force sensor based on near-singular characteristics 基于近星形特征的并行六维力传感器的设计与分析

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-10 DOI: 10.1088/1361-6501/ad1d31

Dajun Cai, Jiantao Yao, Weihua Gao, Hongyu Zhang, Zeyu Li

引用次数: 0

An enhanced perception health state assessment method for subway sliding plug door transmission system 地铁滑塞门传输系统的增强感知健康状态评估方法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc7

Gaige Chen, Yudong Yang, Hui Qi, Xianzhi Wang, Hongbo Ma

{"title":"An enhanced perception health state assessment method for subway sliding plug door transmission system","authors":"Gaige Chen, Yudong Yang, Hui Qi, Xianzhi Wang, Hongbo Ma","doi":"10.1088/1361-6501/ad1cc7","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1cc7","url":null,"abstract":"\u0000 The monitoring data (current and rotational speed) of the subway sliding plug door transmission system changed positively and negatively with the acceleration and weight of the door. How to perceive the changes is a challenging problem in the health state assessment of transmission system. To address this problem, an enhanced perception health state assessment method was proposed for the transmission systems. In the method, firstly, the equivalent resistance force is calculated by monitoring the current and rotational speed data according to mechanical dynamic knowledge. Secondly, the sensitive features of normal and abnormal states are screened out from the enhanced dataset constructed by current, rotational speed data, and equivalent resistance force data. Finally, the health state of the transmission system is assessed using an integrated learning algorithm. The effectiveness of the method is verified by benchmark experimental data, and the results indicate that the method has a higher accuracy with four classifiers and a broader suitable range with varying door acceleration and weight.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"11 25","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Design of flexible sensor for wind pressure monitoring of stay cables 设计用于留置电缆风压监测的柔性传感器

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc3

Xiaoming Wang, Zhilong Guo, Yifeng Huang, Longbo Xiong, Daojin Yao, Wentao Dong

{"title":"Design of flexible sensor for wind pressure monitoring of stay cables","authors":"Xiaoming Wang, Zhilong Guo, Yifeng Huang, Longbo Xiong, Daojin Yao, Wentao Dong","doi":"10.1088/1361-6501/ad1cc3","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1cc3","url":null,"abstract":"\u0000 Strong winds can make a bridge’s cable-stayed cables produce violent vibrations, leading to fatigue of the cable-stayed cables and damaging the cable-stayed bridge’s structure. Accurately and effectively obtaining data on the wind loads applied to the cable-stayed cables is important for assessing the cable-stayed cables’ health. Currently, the more widely used sensing elements include diffuse silicon piezoresistive sensors and strain gauges. However, most of them present such disadvantages as rigidity, difficult to fit the curved surface, high cost and low sensitivity. In this paper, a conductive hydrogel flexible pressure sensor based on TA/CB@PDMS was developed, using carbon black (CB) as the main conductive medium, with good electrical conductivity, high sensitivity (0.95 kPa-1) and excellent tensile properties (210% tensile breakage). Meanwhile, a salt permeation method(Soak the sensor in LiBr solution) was used to effectively inhibit the sensor's water from being evaporated and frozen. Its substrate incorporates tannic acid (TA) to increase the sensor’s adhesion so that it adheres well to the diagonal cable’s surface. In this paper, the wind speed variation around the diagonal cable and the force distribution on the surface with considering the fluid-structure coupling effect are analyzed by ANSYS WORKBECH finite element simulation. Wind tunnel experiments simulate the sensor’s force response when the inclined cable is subjected to different wind speeds, and the detection accuracy reaches 96.17%. The results show the sensor developed in this paper can realize accurate wind pressure detection of the inclined cable. This study provides a new method for wind pressure detection and health inspection of diagonal cables.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"110 12","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Stages assessment of state of health in a lifetime based on the capacity variance of lithium batteries 基于锂电池容量差异的终生健康状况阶段性评估

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc6

Jiadong Meng, Lu Liu, Zhigang Zhao, Cheng Su

{"title":"Stages assessment of state of health in a lifetime based on the capacity variance of lithium batteries","authors":"Jiadong Meng, Lu Liu, Zhigang Zhao, Cheng Su","doi":"10.1088/1361-6501/ad1cc6","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1cc6","url":null,"abstract":"\u0000 To avoid the overuse or underutilization of lithium battery in practical applications, the state of health of lithium battery should be assessed in time to ensure safety and maximize utilization. A health indicator is proposed to show the SOH of lithium battery in this paper. Firstly, the degradation mechanism of lithium battery is described based on the working principle and the aging phenomenon of lithium-iron phosphate battery, and the existing problems in the current research on battery aging phenomenon are expounded. Secondly, to deal with the hidden dangers caused by the aging problem of the battery, the variation of capacity variance is selected to construct the health indicator of lithium battery. Finally, the performance degradation state of lithium battery is divided into four stages according to the changing trend of the constructed indicators in the whole lifetime, which are the formation stage of the first solid electrolyte interface film stage, the normal working stage, the new solid electrolyte interface film stage and the internal resistance rise stage. The battery data set from MIT-Stanford-Toyota Research Center is utilized to verify the proposed method. The results show that the performance of lithium batteries will accelerate degradation with temperature rapidly rising in the new solid electrolyte interface film stage; the internal resistance will increase sharply in the internal resistance rise stage, which can easily lead to accidents such as thermal runaway. The proposed health state assessment method compares with other methods, and it is shown that the proposed method helps to ensure safety and maximize the utilization of lithium batteries.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"108 6","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Wavelet-Based Saturated Absorption Line Detection for Laser Frequency Locking 基于小波的饱和吸收线检测激光频率锁定

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc2

Guanghui Li, Xinxiu Zhou, Lihong Duan, Zhaoyu Wang, Wei Quan

引用次数: 0

A Fault Diagnosis Method for Motor Vibration Signals Incorporating Swin Transformer with Locally Sensitive Hash Attention 一种电机振动信号故障诊断方法，包含具有局部敏感哈希注意的斯温变压器

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc4

Fei Zeng, Xiaotong Ren, Qing Wu

{"title":"A Fault Diagnosis Method for Motor Vibration Signals Incorporating Swin Transformer with Locally Sensitive Hash Attention","authors":"Fei Zeng, Xiaotong Ren, Qing Wu","doi":"10.1088/1361-6501/ad1cc4","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1cc4","url":null,"abstract":"\u0000 Identification of motor vibration signals is one of the important tasks in motor fault diagnosis and predictive maintenance, and wavelet time-frequency diagram is a commonly used signal analysis method to extract the frequency and time characteristics of signals. In this paper, a method based on LSH-Swin Transformer network is proposed for identifying the wavelet time-frequency diagrams of motor vibration signals to analyze the fault types.The traditional Swin Transformer model is difficult to improve the accuracy due to the smoothing of the attention distribution when dealing with data with sparse features, while the method proposed in this paper reduces the smoothing of the computed attention and enables the network to learn the key features better by introducing locally-sensitive hash attention in the network model, dividing the sequences in the input attention into multiple hash buckets, calculating the attention weights of only some of the vectors with a high degree of hash similarity, and by sampling discrete samples with the use of the Gumbel Softmax. The experimental results show that the method proposed in this paper has better recognition accuracy and higher computational efficiency compared with the traditional network when processing wavelet time-frequency maps of motor vibration signals, and its validation accuracy reaches 99.7%, the number of parameters also has a decrease of about 10%, and the training network to reach converged epochs is also faster. The method in this paper can provide an effective solution for the analysis and processing of motor vibration signals, and has certain application value in practical engineering.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"25 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

FastGNet: An Efficient 6-DOF Grasp Detection Method with Multi-Attention Mechanisms and Point Transformer Network FastGNet：采用多注意机制和点变换网络的高效 6-DOF 抓取检测方法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc5

Zichao Ding, Aimin Wang, Maosen Gao, Jiazhe Li

{"title":"FastGNet: An Efficient 6-DOF Grasp Detection Method with Multi-Attention Mechanisms and Point Transformer Network","authors":"Zichao Ding, Aimin Wang, Maosen Gao, Jiazhe Li","doi":"10.1088/1361-6501/ad1cc5","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1cc5","url":null,"abstract":"\u0000 A pivotal technology for autonomous robot grasping is efficient and accurate grasp pose detection, which enables robotic arms to grasp objects in cluttered environments without human intervention. However, most existing methods rely on PointNet or CNN as backbones for grasp pose prediction, which may lead to unnecessary computational overhead on invalid grasp points or background information. Consequently, performing efficient grasp pose detection for graspable points in complex scenes becomes a challenge. In this paper, we propose FastGNet, an end-to-end model that combines multiple attention mechanisms with the Transformer architecture to generate 6-DOF grasp poses efficiently. Our approach involves a novel sparse point cloud voxelization technique, preserving the complete mapping between points and voxels while generating positional embeddings for the Transformer network. By integrating unsupervised and supervised attention mechanisms into the grasp model, our method significantly improves the performance of focusing on graspable target points in complex scenes. The effectiveness of FastGNet is validated on the large-scale GraspNet-1Billion dataset. Our approach outperforms previous methods and achieves relatively fast inference times, highlighting its potential to advance autonomous robot grasping capabilities.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"3 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Quantitative, multi-species gas sensing using broadband terahertz time-domain spectroscopy 利用宽带太赫兹时域光谱进行定量、多物种气体传感

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc8

Chuxuan Zhao, Weitian Wang, Zhu Ning, Zihao Song, Xing Chao

{"title":"Quantitative, multi-species gas sensing using broadband terahertz time-domain spectroscopy","authors":"Chuxuan Zhao, Weitian Wang, Zhu Ning, Zihao Song, Xing Chao","doi":"10.1088/1361-6501/ad1cc8","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1cc8","url":null,"abstract":"\u0000 The broadband terahertz wave, with its correspondence to the fingerprint spectra of gas molecules and relatively high transmittance through smoke, aerosol, and combustion environments, bears great potential for gas detection and combustion diagnostics. While access to the rotational spectral fingerprints in the terahertz region provides opportunities for species-selective diagnostics with minimized background and cross interference, few studies have been devoted to direct, quantitative, simultaneous analysis of multiple components exploiting the terahertz region. In this work, we achieve quantitative measurements of CO, NH3 and H2O gas concentrations at standard temperature and pressure over a bandwidth of 1 THz, using direct absorption spectrum from femtosecond-laser-based terahertz time-domain spectroscopy. Spectral fitting of the fully resolved rotational lines yields good precision and accuracy with validation against calibrated mixtures. The estimated detection limts of the multi-speices sensing system are 250 ppm·m, 7 ppm·m and 4 ppm·m for CO, NH3 and H2O, respectively. The demonstration of quantitative, multi-species gas sensing indicates the feasibility and practical value of using broadband terahertz absorption spectroscopy for real-time, quantitative analysis and speciation of multicomponent gas in complicated practical environments such as combustion and multi-phase flows.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"101 8","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Deformation Health Diagnosis of RCC Dams Considering Construction Interfaces Based on Monitoring Data and Numerical Simulation 基于监测数据和数值模拟的考虑施工界面的 RCC 大坝变形健康诊断

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-01-09 DOI: 10.1088/1361-6501/ad1cc9

Xudong Chen, Liuyang Li, Yajian Liu, YIngda Zhao, Xiangnan Qin, Jinjun Guo, Bo Xu, Guang Yang

{"title":"Deformation Health Diagnosis of RCC Dams Considering Construction Interfaces Based on Monitoring Data and Numerical Simulation","authors":"Xudong Chen, Liuyang Li, Yajian Liu, YIngda Zhao, Xiangnan Qin, Jinjun Guo, Bo Xu, Guang Yang","doi":"10.1088/1361-6501/ad1cc9","DOIUrl":"https://doi.org/10.1088/1361-6501/ad1cc9","url":null,"abstract":"\u0000 The health diagnosis procedure applied to determine the deformation of a roller compacted concrete (RCC) dam is different from that of a conventional concrete dam. Hence, in this study, a deformation health diagnosis model was established for an RCC dam considering the construction interfaces by combining the hydrostatic component simulated using ABAQUS (2016), with the temperature and aging components calculated using a statistical method. The combined method can help monitor the structural health of RCC dams and determine the physical meaning and statistical law of deformation of RCC dams. During the simulation process, the geometric characteristics of the construction interfaces were modelled using the interface equivalent expansion method (IEEM). The material properties were modelled using multi-output least-squares support vector regression optimized with the Jaya algorithm (JA-MLS-SVR). A case study demonstrated that the established deformation–health diagnosis model has good fitting and prediction abilities. The model and methods proposed in this study provide a new concept for the behavior analysis and numerical simulation of mass composite structures similar to RCC dams.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":"37 20","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139442630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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