Journal of Electrical Engineering & Technology最新文献_第2页

Determining Induction Motor Stator Geometric Dimensions by Image Processing and Interface Design for Motor Analysis 通过图像处理和电机分析界面设计确定感应电机定子几何尺寸

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-30 DOI: 10.1007/s42835-024-02008-1

Hasbi Apaydın, Necibe Fusun Oyman Serteller, Yüksel Oğuz

{"title":"Determining Induction Motor Stator Geometric Dimensions by Image Processing and Interface Design for Motor Analysis","authors":"Hasbi Apaydın, Necibe Fusun Oyman Serteller, Yüksel Oğuz","doi":"10.1007/s42835-024-02008-1","DOIUrl":"https://doi.org/10.1007/s42835-024-02008-1","url":null,"abstract":"In this study, a Matlab Graphical User Interface (GUI) was developed to facilitate the input of design criteria in the Ansys Maxwell RMxprt module for preliminary Induction Motors (IM) design. Scanned images of the stator core plate and the slot section were used in the interface to define the slot of the IM. Image processing methods were applied to extract the geometric dimensions of the stator sheet plate from these images. The interface program successfully obtained the stator’s outer diameter, inner diameter, and the number of stator slots with a very low error rate. Once the geometric measurements were obtained, other motor design criteria were inputted, and the data was automatically transferred to the RMxprt module. RMxprt module then utilized this data for motor analysis. The analysis results were exported to Matlab for visualization. This approach aims to reduce user-induced measurement errors during the extraction of motor stator geometric measurements and provide practical data input. Furthermore, there is a need for the creation of interdisciplinary learning environments through simulation programs. In this context, to enhance the learning experiences of researchers undergoing IM training, an alternative simulation program that uses new technologies is introduced, creating enriching training environments.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"8 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 New License Plate De-Identification Method for Indoor Parking Lot Datasets 用于室内停车场数据集的新型车牌去识别方法

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-30 DOI: 10.1007/s42835-024-02033-0

Seung Ho Nam, Hong Seong Park

{"title":"A New License Plate De-Identification Method for Indoor Parking Lot Datasets","authors":"Seung Ho Nam, Hong Seong Park","doi":"10.1007/s42835-024-02033-0","DOIUrl":"https://doi.org/10.1007/s42835-024-02033-0","url":null,"abstract":"This paper addresses de-identification problem of vehicle license plates in image-based datasets crucial for autonomous driving and robotics research. Traditional methods such as blurring and masking used for privacy protection reduce data quality by obscuring key features like license plates, limiting the utility of datasets. To overcome this, this paper introduces a new method that retains original data quality while anonymizing license plates by combining detection, vertices identification, and generation of virtual license plates resembling textures of the original. The approach utilizes advanced models such as YOLOv8x and Swin Transformer, enhanced by the Weighted Box Fusion ensemble technique, to improve the detection accuracy of license plates in complex indoor parking lot environments characterized by poor lighting and varied vehicle positions. This method enhances the accuracy of detecting multiple license plates in a single image, isolating images with only one vehicle for further processing. The RetinaFace model identifies the precise positions (or 4 vertices) of license plates and the perspective transformation technique replaces the original plates with virtual ones using the identified vertices. These virtual plates are randomly generated but initially do not match the original plates' texture, making them obviously artificial. To address this, a finely adjusted CycleGAN model adapts the texture of the virtual plates to closely resemble the originals. Finally, the modified plates are merged back with the original vehicle images, ensuring that the dataset retains the visual similarity to the original images while effectively making de-identification of the license plates for privacy. The effectiveness of the proposed de-identification method is validated by comparing its performance with various deep learning models in an indoor parking environment.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"86 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

The Effect of Stator–Rotor Slot Combination on Electromagnetic Vibration of High-Voltage Line-Starting Permanent Magnet Synchronous Motor 定子-转子槽组合对高压线路启动永磁同步电机电磁振动的影响

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-30 DOI: 10.1007/s42835-024-02022-3

Cunxiang Yang, Si Chen, Hongbo Qiu, Yiming Wang, Zhenxiang Lian

{"title":"The Effect of Stator–Rotor Slot Combination on Electromagnetic Vibration of High-Voltage Line-Starting Permanent Magnet Synchronous Motor","authors":"Cunxiang Yang, Si Chen, Hongbo Qiu, Yiming Wang, Zhenxiang Lian","doi":"10.1007/s42835-024-02022-3","DOIUrl":"https://doi.org/10.1007/s42835-024-02022-3","url":null,"abstract":"High voltage line-starting permanent magnet synchronous motor (HVLSPMSM) have the advantages of induction motors in terms of ease of operation and maintenance. However, due to the slot structure of the stator and rotor, the electromagnetic force composition is complex, which causes the vibration characteristics of HVLSPMSM to change. In order to analyze the influence of stator–rotor slot combinations on the vibration of HVLSPMSM. In this paper, a 10 kV HVLSPMSM is taken as an example to study. Firstly, the mathematical model of HVLSPMSM is established and the air gap magnetic flux density distribution characteristics are obtained for different stator–rotor slot combinations. The expression of the air gap electromagnetic force density (AEFD) of HVLSPMSM is derived by Maxwell tensor method, and the effect of different stator–rotor slot combinations on AEFD is revealed. Further, based on the theory of stator tooth modulation, the sources of equivalent concentrated forces (ECFs) under for different stator–rotor slot combinations are analyzed and the effect of stator–rotor slot combinations on electromagnetic vibration is determined. Next, the electromagnetic–mechanical coupled model of HVLSPMSM is established, and the electromagnetic and vibration characteristics under different stator–rotor slot combinations are solved, and the effect of stator–rotor slot combinations on motor vibration is obtained. Finally, the electromagnetic experiment is conducted to validate the analysis.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"34 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Cascaded Deadbeat Predictive Control for the Unipolar Sinusoidal Excited SRMs Based on the Adaptive Fading Kalman Filter 基于自适应衰减卡尔曼滤波器的单极性正弦激励自整定制冷机组的级联死区预测控制

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-30 DOI: 10.1007/s42835-024-02005-4

Di Liu, Yunsheng Fan, Jian Liu, Guofeng Wang

{"title":"Cascaded Deadbeat Predictive Control for the Unipolar Sinusoidal Excited SRMs Based on the Adaptive Fading Kalman Filter","authors":"Di Liu, Yunsheng Fan, Jian Liu, Guofeng Wang","doi":"10.1007/s42835-024-02005-4","DOIUrl":"https://doi.org/10.1007/s42835-024-02005-4","url":null,"abstract":"In this paper, a novel cascaded predictive control strategy, endowed with the merits of the deadbeat predictive control solution and Kalman filter framework, is proposed for unipolar sinusoidal excited switched reluctance motors. The primary aim is to augment the dynamic performance of the system while ensuring robustness across various conditions. To achieve this objective, a Kalman filter is meticulously implemented and integrated into the deadbeat predictive current control strategy (DPCC). This integration facilitates a comprehensive consideration of the system’s nonlinear dynamics and measurement noise, thereby reducing the DPCC’s reliance on precise model parameter information. This advancement significantly bolsters the robustness and flexibility of the control system in various operational contexts. Simultaneously, to enhance the dynamic performance of the speed control mechanism and robustness, a deadbeat predictive speed control strategy (DPSC) integrating a novel adaptive fading Kalman filter (AFKF) is proposed. Within the AFKF, a modified fading factor selection method is employed, which contributes to the enhanced convergence speed, thereby optimizing the dynamic performance of the DPSC strategy. Finally, detailed comparative simulations and experiments are undertaken to verify the theoretical framework’s feasibility and to substantiate the performance enhancements ascribed to the proposed control strategy.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"40 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Brain Magnetic Resonance Image Inpainting via Deep Edge Region-based Generative Adversarial Network 通过基于边缘区域的深度生成对抗网络绘制脑磁共振图像

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-29 DOI: 10.1007/s42835-024-02025-0

R. Kala, Raja Chandrasekaran, A. Ahilan, P. Jayapriya

{"title":"Brain Magnetic Resonance Image Inpainting via Deep Edge Region-based Generative Adversarial Network","authors":"R. Kala, Raja Chandrasekaran, A. Ahilan, P. Jayapriya","doi":"10.1007/s42835-024-02025-0","DOIUrl":"https://doi.org/10.1007/s42835-024-02025-0","url":null,"abstract":"Human brains are the most complex organs. There are a number of functions that this three-pound organ performs, including intelligence, interpreter of the senses, initiator of bodily movements, and controller of behaviour. In this paper, a novel ER-GAN model has been proposed for image inpainting (IIP) Brain MRI images. Initially, the brain MRI images are segmented using Attention V-Net. In the first GAN, Edge reconstruction Generative Adversarial Networks (EGAN) are used as edge generators able to hallucinate edges in missing regions based on the rest of the image’s edges and grayscale pixel intensities. Edge generation in brain MRI images involves leveraging these grayscale pixel intensities to detect boundaries between different brain tissues or structures. The varying intensities in MRI images often correspond to changes in tissue composition or boundaries between anatomical regions, making them valuable for edge detection and delineation. The second GAN uses the Region Reconstruction Generative Adversarial Network (RGAN) to fill in the missing regions by combining edge information from the missing regions and color and texture information from the surrounding regions. In experimental analysis, the Jaccard Index (JI) and Dice Index (DI) are obtained at 0.78 and 0.84 respectively. The proposed ER-GAN model reaches an overall accuracy of 99.25%, which is comparatively better than the existing techniques.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"75 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Research on DC Component Suppression Method of Non-isolated Grid-Connected Inverter 非隔离并网逆变器直流分量抑制方法研究

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-29 DOI: 10.1007/s42835-024-01940-6

Huige Chen, Shuangling Wang

{"title":"Research on DC Component Suppression Method of Non-isolated Grid-Connected Inverter","authors":"Huige Chen, Shuangling Wang","doi":"10.1007/s42835-024-01940-6","DOIUrl":"https://doi.org/10.1007/s42835-024-01940-6","url":null,"abstract":"The zero drift occurring to the sampling conditioning circuit of the non-isolated grid-connected inverter will make the output develop a DC component, thus resulting in system failure and posing safety risks. According to the IEEE standard 1547-2003, the DC component injected into the grid side should be less than 0.5% of the rated current. In this paper, a moving average filter is proposed to extract the DC component of the three-phase AC output current. The filter has a very strong attenuation ability to the fundamental integer multiple harmonics, and can accurately extract the DC component. Then the proportional integral resonant controller (PIR) is used to control the system. The control system has sufficient bandwidth to avoid the stability problem caused by frequency offset. Through the above methods, the purpose of accurately suppressing the DC component in the non-isolated grid-connected inverter is realized. Also, a 50 kVA prototype is built in this study. The experimental results show that the moving average filter is advantageous over the conventional low-pass filter method in extracting the DC component, and the PIR controller used in the closed-loop control system outperforms the proportional integral and proportional resonant controllers. Under the strategy proposed in this study, the DC component is reduced to less than 0.5% of the rated current, and the THD of the grid-connected current falls below 5%.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"9 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Impact of 2D and 3D Rotor Eccentricity on End Winding Mechanics Behavior in Synchronous Generators 二维和三维转子偏心率对同步发电机端部绕组力学行为的影响

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-21 DOI: 10.1007/s42835-024-01997-3

Ming-Xing Xu, Yu-Ling He, Wen Zhang, Wen-Jie Zheng, De-Rui Dai, Xiang-Ao Liu, David Gerada

{"title":"Impact of 2D and 3D Rotor Eccentricity on End Winding Mechanics Behavior in Synchronous Generators","authors":"Ming-Xing Xu, Yu-Ling He, Wen Zhang, Wen-Jie Zheng, De-Rui Dai, Xiang-Ao Liu, David Gerada","doi":"10.1007/s42835-024-01997-3","DOIUrl":"https://doi.org/10.1007/s42835-024-01997-3","url":null,"abstract":"Investigations on static air-gap eccentricity (SAGE) faults about magnetic field variations, current/ voltage changes, and stator/ rotor vibrations have been widely carried out, while the mechanical properties of the end windings have been rarely studied, especially in 3D eccentricity cases. This article provides a detailed study on the stator end winding mechanics behavior in synchronous generators at typical rotor eccentricity running conditions. Such mechanics behavior includes not only the electromagnetic force (EF) properties, but also the end winding vibrations as well as the stress/strain/deformation responses due to the uneven EF excitation. The typical rotor eccentricity running conditions include: 1) radial static air-gap eccentricity (RSAGE), 2) axial static air-gap eccentricity (ASAGE), and 3) hybrid static air-gap eccentricity (HSAGE). The theoretical analysis, finite element analysis calculation and experimental verification are performed respectively, by taking a 5kVA synchronous generator as the research object in this paper. It is shown that in normal and SAGE cases, the end winding EF/vibration contains the DC component and even harmonics, especially the 2nd harmonic. RSAGE increases the end winding EF/vibration, whereas ASAGE increases the end winding EF/vibration at the extended end of the rotor while decreasing the EF/vibration on the retracted end. Under HSAGE, both RSAGE and ASAGE will affect the variation trend of end winding EF/vibration with the rule of single direction SAGE fault. The nose part and the joint to connect the end part and the linear sections are the most dangerous positions to afford the mechanics responses, and the occurrence of SAGE will make these parts more vulnerable.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"106 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Classifying Radiation Degradation of Epoxy Molding Compound by Using Machine Learning and its Effect on Thermal and Mechanical Properties 利用机器学习对环氧树脂模塑料的辐射降解及其对热性能和机械性能的影响进行分类

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-21 DOI: 10.1007/s42835-024-01986-6

Dong-Hyeon Kim, Dong-Seok Kim, Sung-Uk Zhang

{"title":"Classifying Radiation Degradation of Epoxy Molding Compound by Using Machine Learning and its Effect on Thermal and Mechanical Properties","authors":"Dong-Hyeon Kim, Dong-Seok Kim, Sung-Uk Zhang","doi":"10.1007/s42835-024-01986-6","DOIUrl":"https://doi.org/10.1007/s42835-024-01986-6","url":null,"abstract":"Power semiconductors play a crucial role in power conversion applications within nuclear power plants. These semiconductors are enclosed using polymeric materials for cost-effectiveness. Researchers have substantiated that polymeric materials are subject to radiation-induced degradation in nuclear power plants, prompting reliability studies. Consequently, investigating the radiation degradation behavior of polymeric materials becomes imperative to ensure their reliability and stability. This study focuses on the degradation of epoxy molding compound (EMC), a type of polymeric material, under the influence of total ionizing dose (TID). To analyze the effects of TID conditions on EMC, data was collected and subjected to various tests, including FTIR (Fourier Transform Infrared Spectroscopy) spectroscopy, thermal conductivity testing, and nanoindentation testing. These tests were conducted to assess chemical changes, thermal properties, and mechanical properties of EMC as a consequence of TID exposure. TID induces random ionization damage of EMC. Five EMC samples with different total cumulative doses were produced by varying the TID exposure time. Spectral data were obtained from the fabricated EMC samples by FTIR spectroscopy. FTIR spectral data was used to build a machine learning model, and the degree of EMC performance degradation due to TID exposure was determined. In our study, we selected an optimal algorithm among six machine learning algorithms. Dimensionality reduction methods such as ReliefF and PCA were also applied to build a more simplified discriminant model. As a result, it was confirmed that radiation changed the thermal properties of EMC materials. However, no change in the mechanical properties of EMC was observed under our test conditions.","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"75 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Electrical Performance Verification Study of Underground Structures Including Electrical Distribution Equipment 包括配电设备在内的地下建筑电气性能验证研究

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-21 DOI: 10.1007/s42835-024-01992-8

Boo-Hyun Shin, Hye-Seon Lee, Gi-Dae Oh, Seung-Chul Kim

引用次数: 0

Fault Diagnosis of the Electric Multiple Unit Door System by Machine Learning Using Sensor Signal of the Simulator 利用模拟器的传感器信号，通过机器学习对电动多单元门系统进行故障诊断

IF 1.9 4区工程技术

Journal of Electrical Engineering & Technology Pub Date : 2024-08-21 DOI: 10.1007/s42835-024-02003-6

Gil Hyun Kang, Kyung Sik Kim, Chin Young Chang, Chul Su Kim

{"title":"Fault Diagnosis of the Electric Multiple Unit Door System by Machine Learning Using Sensor Signal of the Simulator","authors":"Gil Hyun Kang, Kyung Sik Kim, Chin Young Chang, Chul Su Kim","doi":"10.1007/s42835-024-02003-6","DOIUrl":"https://doi.org/10.1007/s42835-024-02003-6","url":null,"abstract":"Fault diagnosis and prediction are important to prevent traffic congestion during rush hour due to door failures of urban railway vehicles. This paper is a study on improving failure classification performance through machine learning using the data set collected by installing a displacement sensor on a door simulator. First, the durability test of the sensor and the developed simulator was verified through 147,000 no-failure tests. For machine learning, 11,225 sets of normal and abnormal data of the door were collected and supervised learning was performed. In order to overcome the difficulty of fault diagnosis of the existing pressure sensor or acoustic sensor, pre-processing was performed that converted to speed-based data. In addition, feature extraction was compared with the single zone method by testing the 2-zone segmentation method. Feature selection was made using the principal component analysis algorithm developed for feature dimensionality reduction. As a result, the classification performance of the method using the single zone method with open and close data was better than the 2-zone segmentation method by acceleration and deceleration. Among the machine learning models, the LGBM model showed the highest prediction accuracy of 99.55%, which is expected to be applied to actual vehicles.<h3 data-test=\"abstract-sub-heading\">Graphical Abstract</h3>\u0000","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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