Measurement Science and Technology最新文献_第10页

Application of improved Wolf pack algorithm in planning and operation of multi-microgrid systems with electric vehicles 改进型狼群算法在电动汽车多微网系统规划和运行中的应用

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-01 DOI: 10.1088/1361-6501/ad574b

Guohao Sun, Shouming Zhang, Sen Yang, Yuhao Zhao

{"title":"Application of improved Wolf pack algorithm in planning and operation of multi-microgrid systems with electric vehicles","authors":"Guohao Sun, Shouming Zhang, Sen Yang, Yuhao Zhao","doi":"10.1088/1361-6501/ad574b","DOIUrl":"https://doi.org/10.1088/1361-6501/ad574b","url":null,"abstract":"With the rapid growth of renewable energy sources and the widespread use of electric vehicles (EVs), the planning and operation problems of multiple microgrids (MMGs) have become more complex and diverse. This paper develop an MMG model with multiple renewable energy sources and small-scale EVs, aiming to maximize the use of renewable energy sources and realize the charging demand of EVs, and highlighting the potential role of EVs in MMGs. In addition, the paper underscores the indispensable role of measurement technology in microgrids and the impetus that microgrid development provides for advancements in measurement technology. To this end, this paper proposes an improved Wolf pack algorithm (IWPA) based on the standard Wolf Pack Algorithm (WPA) with a spiral search approach and chaotic updating of individuals to improve the global search capability of the algorithm and the complexity of solving the scheduling problem. Through simulation experiments on ten standard test functions and examples, it is verified that the IWPA algorithm improves the search accuracy by 2.8%–6.8% and 13.9%–18.3% in the worst and best cases, respectively, in comparison with other algorithms, and it also has a faster convergence speed. Meanwhile, this paper proposes a load interval pricing strategy for the shortcomings of time-of-use pricing strategy and traditional real-time pricing strategy, which is simulated under grid-connected operation, isolated grid operation, and multi-microgrid cooperative operation modes, and the simulation results of the arithmetic example show that this strategy can effectively reduce carbon emissions, and IWPA can effectively coordinate renewable energy, EVs, and other energy resources to achieve efficient energy management of MMGs and supply-demand balance.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141695617","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

Periodic group-sparse method via generalized minimax-concave penalty for machinery fault diagnosis 用于机械故障诊断的广义最小值-凹惩罚周期组-稀疏法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-14 DOI: 10.1088/1361-6501/ad5860

Wangpeng He, Zhihui Wen, Xuan Liu, Xiaoya Guo, Juanjuan Zhu, Weisheng Chen

引用次数: 0

A new dual-channel convolutional neural network and its application in rolling bearing fault diagnosis 新型双通道卷积神经网络及其在滚动轴承故障诊断中的应用

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-14 DOI: 10.1088/1361-6501/ad5861

Baoquan Hu, Jun Liu, Rongzhen Zhao, Yue Xu, Tianlong Huo

{"title":"A new dual-channel convolutional neural network and its application in rolling bearing fault diagnosis","authors":"Baoquan Hu, Jun Liu, Rongzhen Zhao, Yue Xu, Tianlong Huo","doi":"10.1088/1361-6501/ad5861","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5861","url":null,"abstract":"\u0000 Recently, deep learning has received widespread attention in the field of bearing fault diagnosis due to its powerful feature learning capability. However, when the actual working conditions are complex and variable, the fault information in a single domain is limited, making it difficult to achieve high accuracy. To overcome these challenges, this paper proposes a bearing fault diagnosis method based on the Markov transition field (MTF), continuous wavelet transform (CWT), and dual-channel convolutional neural network (CNN). The method combines the descriptive ability of the Markov model for state transfer, the time-frequency analysis ability of CWT for signal, and the excellent performance of CNN with attention mechanism in feature extraction and classification. Specifically, we first propose a multi-channel Markov transition field (MMTF) method, which is combined with CWT to obtain two different representations of two-dimensional (2D) images. To comprehensively mine fault information, we further propose a dual-channel CNN with an attention mechanism. The design of this network structure aims to extract multi-level features from two types of 2D images. At the same time, we designed and embedded an attention mechanism to enable the network to focus more on extracting effective features, thereby improving the performance and accuracy of the network. To verify the effectiveness of the proposed method, two datasets were used for empirical research. The results show that this method exhibits superior performance in bearing fault diagnosis and has higher accuracy compared to traditional methods.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141344298","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

Lightweight MDSCA-Net: An end-to-end CAN bus fault diagnosis framework 轻量级 MDSCA-Net：端到端 CAN 总线故障诊断框架

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-14 DOI: 10.1088/1361-6501/ad5862

Xuyao Lu, Yongjie Huang, Ruiqi Liu, Xiaofei Huang, Chuanzhu Liu

{"title":"Lightweight MDSCA-Net: An end-to-end CAN bus fault diagnosis framework","authors":"Xuyao Lu, Yongjie Huang, Ruiqi Liu, Xiaofei Huang, Chuanzhu Liu","doi":"10.1088/1361-6501/ad5862","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5862","url":null,"abstract":"\u0000 Controller area network (CAN) buses are widely used as low-cost, highly flexible field buses in various scenarios, such as in vehicle networks for automobiles and communication networks for industrial sites. They typically operate in harsh environments, and faults inevitably occur. CAN bus faults cannot be efficiently diagnosed via traditional manual detection. Herein, we propose a lightweight MDSCA-Net for CAN bus fault diagnosis. Deep separable convolution (DSConv) is used in the model instead of ordinary convolution to reduce the number of parameters and floating-point operations. Additionally, the noise immunity of the model is improved by designing a multiscale denoising module (MDM). A multiscale deep separable convolutional fusion SE at tention (MDSCSA) module is designed to capture the channel dimension details of the features. Furthermore, a spatial attention module (SAM) is utilized to capture the spatial dimension details of the features. Finally, a residual (Res) module stabilizes the model performance. Experimental results on the CAND dataset indicated that the proposed method achieved a diagnostic accuracy of 99% in a noise-free environment, and compared with other fault diagnosis methods, it had better noise immunity and robustness in a noisy environment, which is of considerable practical significance for ensuring the stable operation of CAN buses.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141340468","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

Res2-UNet++: A Deep Learning Image Post-Processing Method for Electrical Resistance Tomography Res2-UNet++：用于电阻断层扫描的深度学习图像后处理方法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-13 DOI: 10.1088/1361-6501/ad57e0

Qiushi Huang, Guanghui Liang, Chao Tan, Feng Dong

{"title":"Res2-UNet++: A Deep Learning Image Post-Processing Method for Electrical Resistance Tomography","authors":"Qiushi Huang, Guanghui Liang, Chao Tan, Feng Dong","doi":"10.1088/1361-6501/ad57e0","DOIUrl":"https://doi.org/10.1088/1361-6501/ad57e0","url":null,"abstract":"\u0000 It is challenging to monitor the multiphase flow distribution in the industrial processes in order to optimize the production. Electrical resistance tomography (ERT) can be used to visualize the inner distribution of multiphase flow. The image reconstruction plays a vital role in ERT. However, the nonlinearity and ill-posedness of inverse problem make the image reconstruction of ERT a challenge, and the development of advanced imaging algorithm has attracted much attention in the past. In this work, an improved U-shaped deep learning model is proposed, which combines the advantages of multi-scale feature extraction of UNet++ and residual feature fusion of Res2Net. The network is used to post-process the prereconstruction result of traditional ERT image reconstruction methods, where the generalization ability of the traditional methods and the flexible feature extraction advantage of deep learning methods can be combined. Simulations and experiments are designed to verify the generalization ability and the effectiveness of the proposed model. Both simulation and experimental results show that the proposed U-shaped network approach outperforms other deep learning methods, and the proposed deep learning model is fit for post-processing tasks of ERT.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141349203","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

An interpretable spacecraft flywheel system health status assessment method under perturbation 扰动下可解释的航天器飞轮系统健康状况评估方法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-13 DOI: 10.1088/1361-6501/ad57de

Zongjun Zhang, Wei He, Hongyu Li, Ning Ma, Guohui Zhou

{"title":"An interpretable spacecraft flywheel system health status assessment method under perturbation","authors":"Zongjun Zhang, Wei He, Hongyu Li, Ning Ma, Guohui Zhou","doi":"10.1088/1361-6501/ad57de","DOIUrl":"https://doi.org/10.1088/1361-6501/ad57de","url":null,"abstract":"\u0000 Health status assessment is an important measure for maintaining the safety of spacecraft flywheel systems. The influence of noise, sensor quality, and other disturbance factors can lead to a decrease in the reliability of the collected information. This can affect the model accuracy. Moreover, a loss of belief in the model is frequently caused by the opaque nature of the procedure and the incomprehensibility of the outcomes, particularly in fields such as aerospace. It is urgent to maintain the interpretability of the model and successfully identify the unreliability of the observed data. Therefore, this paper proposes a spacecraft flywheel system health status assessment method under perturbation based on interpretable belief rule base with attribute reliability (IBRB-r). First, the attribute reliability is calculated based on the average distance method, and a new fusion method of attribute reliability is proposed to reduce the interference of unreliable information. Then, a new interpretable constraint strategy is proposed to improve the rationality and interpretability of the parameters. Finally, the proposed method is validated by a case study of the health status assessment of a spacecraft flywheel system. Experiments show that the IBRB-r maintains high accuracy and interpretability under unreliable observation data.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348429","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

A hybrid information fusion method for SINS/GNSS integrated navigation system utilizing GRU-Aided AKF during GNSS outages 全球导航卫星系统中断期间利用 GRU 辅助 AKF 的 SINS/GNSS 集成导航系统混合信息融合方法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-13 DOI: 10.1088/1361-6501/ad57e2

Chuan Xu, Shuai Chen, Zhikuan Hou

{"title":"A hybrid information fusion method for SINS/GNSS integrated navigation system utilizing GRU-Aided AKF during GNSS outages","authors":"Chuan Xu, Shuai Chen, Zhikuan Hou","doi":"10.1088/1361-6501/ad57e2","DOIUrl":"https://doi.org/10.1088/1361-6501/ad57e2","url":null,"abstract":"\u0000 To enhance the performance of integrated inertial navigation system (INS) and global navigation satellite system (GNSS) during GNSS outages, this paper proposed a fusion positioning method based on predictive observation information and adaptive filter parameter. Combined with an adaptive Kalman filter (AKF) and a Gated Recurrent Unit (GRU) neural network (NN) that directly relates the inertial measurement unit (IMU) output sequence to the error estimation, the hybrid information fusion system can provide effective corrections to compensate for horizontal position errors under the constraints of complex and dynamic vehicle movement data during GNSS outages. Meanwhile, the designed adaptive parameter of the integrated navigation filter can adjust the credibility of the state prediction section when the GNSS is reconnected, ensuring the system can switch rapidly between the INS/GNSS and INS/NN integrated modes. The performance of the proposed information fusion method has been experimentally validated using IMU and GNSS data collected in a vehicle navigation test conducted on a stretch of expressway. The comparison results indicate that the proposed algorithm has error suppression capabilities under various experimental constraints and demonstrates a degree of extendibility and reusability.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348409","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

Robust LiDAR visual inertial odometry for dynamic scenes 用于动态场景的鲁棒激光雷达视觉惯性里程测量法

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-13 DOI: 10.1088/1361-6501/ad57dc

Gang Peng, Chong Cao, Bocheng Chen, Lu Hu, Dingxin He

引用次数: 0

Anisotropic complex permittivity measurement using a microstrip air line 使用微带空气线测量各向异性复介电常数

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-13 DOI: 10.1088/1361-6501/ad57da

Qunying Li, Changying Wu

{"title":"Anisotropic complex permittivity measurement using a microstrip air line","authors":"Qunying Li, Changying Wu","doi":"10.1088/1361-6501/ad57da","DOIUrl":"https://doi.org/10.1088/1361-6501/ad57da","url":null,"abstract":"\u0000 A microstrip air line system for measuring the complex permittivity of anisotropic materials in the band from 0.3 to 1 GHz is proposed. The multireflect-thru method is used to calibrate the measurement system in the whole band with a single microstrip air line without suffering from the limited space resolution of time-gating technique. During the measurement, the material under test (MUT) is placed both above and below the strip. With this deployment, the TEM mode propagates along the microstrip in the MUT. Therefore, it is possible to measure the anisotropic permittivity. Since a small portion of the electric field is parallel to the ground plane around two edges of the strip, the extracted property is not purely along one direction. To obtain higher accuracy, with the help of linear combination, the properties along two directions are disentangled by two measurements. For validation of the method, an isotropic material and an anisotropic material in the microstrip air line were simulated and their permittivities were extracted from simulation results. An anisotropic material polytetrafluoroethylene (PTFE) and two anisotropic materials, FR4 and honeycomb absorber, were measured. The results of PTFE show that there is a maximum relative error of 1.4% and 2.5% for the permittivity extracted from simulation and measurement, respectively. The validity and the accuracy of the system for measuring anisotropic materials are verified by the simulation and measurement results.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348420","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

Three-Dimensional Orthorectified Simulation and Ground Penetrating Radar Detection of Interlayer Bonding Condition in Asphalt Pavements 沥青路面层间粘结状况的三维正交模拟和探地雷达探测

IF 2.4 3区工程技术

Measurement Science and Technology Pub Date : 2024-06-13 DOI: 10.1088/1361-6501/ad57d8

Jiangang Yang, Shenggang Yang, Yuquan Yao, Jie Gao, Shuyi Wang

{"title":"Three-Dimensional Orthorectified Simulation and Ground Penetrating Radar Detection of Interlayer Bonding Condition in Asphalt Pavements","authors":"Jiangang Yang, Shenggang Yang, Yuquan Yao, Jie Gao, Shuyi Wang","doi":"10.1088/1361-6501/ad57d8","DOIUrl":"https://doi.org/10.1088/1361-6501/ad57d8","url":null,"abstract":"\u0000 To assess three-dimensional ground-penetrating radar (GPR) applicability for evaluating interlayer bonding in asphalt pavements with semi-rigid base layers, and analysis the GPR detection mechanism. Using forward simulation to create various medium models and analyze electromagnetic wave transmission in air, water, and sand. Four distinct pavement structures were subjected to GPR testing, and the amplitude intensity levels and image processing techniques to assess asphalt pavement interlayer bonding, and validated by comparing the results with core samples. The findings revealed that electromagnetic wave transmission processes were significantly influenced by medium uniformity. Non-uniform medium models generated considerable stray waves, akin to typical \"noise,\" closely mirroring real pavement conditions. Poorly bonded areas exhibited clearer hyperbolic ripples, primarily due to significant differences in dielectric constants of filling materials. Amplitude strength effectively evaluated bonding across different asphalt pavement configurations and lanes, typically following a normal distribution. Enhanced interlayer contact correlated with smaller amplitudes, while weaker bonding led to larger amplitudes. The amplitude distribution in the center of lanes differed significantly from wheel track areas, and the interlayer bonding condition of center lanes was better than wheel track belt. Additionally, radar plan views exhibited considerable variation across different interlayer contact conditions. The image processing method can evaluate the interlayer contact condition of different pavement structures across full cross-sections.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141347953","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