Chinese Journal of Electrical Engineering最新文献

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Numerical Study on Active Control of Plasma Wakes of Tandem Double Wind-turbine Airfoils 串联双翼型等离子体尾迹主动控制的数值研究
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-09-01 Epub Date: 2026-10-19 DOI: 10.23919/CJEE.2026.000029
Yongqiang Kang;Linbo Geng;Yu Meng;Xuhong Pu;Guodong Liu;Shuaibing Li
{"title":"Numerical Study on Active Control of Plasma Wakes of Tandem Double Wind-turbine Airfoils","authors":"Yongqiang Kang;Linbo Geng;Yu Meng;Xuhong Pu;Guodong Liu;Shuaibing Li","doi":"10.23919/CJEE.2026.000029","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000029","url":null,"abstract":"The velocity loss and turbulence fluctuations caused by the wake of wind turbines pose severe threats to the output of wind farms and the life of wind turbines. Although active yaw control technology has attracted more interest for the wake control of wind turbines, it shortens the life of the wind turbine and increases the maintenance cost, making it difficult to apply. Plasma flow control has been widely used in the active control of aerodynamic characteristics, such as aircraft and wind turbines, because of its technical advantages. Additionally, it is a potentially effective method for solving the problem of wind turbine wake control. Based on this, this study used the plasma phenomenological model and loosely coupled flow-field Navier-Stokes equations to numerically simulate the wake flow field of vertical-axis wind turbines arranged in tandem in wind farms under different flow spacings, attack angles, and wind speeds. The velocity, vorticity, and turbulence intensity distributions of the wake field with and without plasma excitation are analyzed. The results showed that when the plasma actuator is applied, the lift of the wind-turbine airfoil increased and the resistance decreased. Under different conditions, the flow separation of the tandem double wind-turbine airfoils was suppresse, and the wake velocity recovery is accelerated, with a maximum increase of 28.7%. The vorticity and turbulence intensities decrease, and the maximum decrease in the turbulence intensity is 25.6%. The wake characteristics of the wind turbine improve significantly. The research results provide new concepts and references for improving the wake interference of wind turbines and achieving active control of the wake of wind turbines.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 3","pages":"215-231"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11739739","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149219317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Icing-Thickness Prediction for Transmission Line Based on Improved Support Vector Machine 基于改进支持向量机的输电线路结冰厚度预测
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-09-01 Epub Date: 2026-10-19 DOI: 10.23919/CJEE.2025.000183
Xiaoxiao Kong;Ge Zhang;Zekai Zhang;Daiyong Yang;Lixin Jiao;Hucheng Liang;Boxue Du
{"title":"Icing-Thickness Prediction for Transmission Line Based on Improved Support Vector Machine","authors":"Xiaoxiao Kong;Ge Zhang;Zekai Zhang;Daiyong Yang;Lixin Jiao;Hucheng Liang;Boxue Du","doi":"10.23919/CJEE.2025.000183","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000183","url":null,"abstract":"Icing disasters on transmission lines under extremely cold conditions significantly threaten the safe and stable operation of power systems. Relevant icing-prediction methods can enhance the resilience of transmission lines against natural disasters. A method for predicting the icing thickness of a transmission line during the initial stage of icing growth is proposed. Meteorological parameters of temperature, relative humidity, and wind speed are selected as inputs, whereas ice thickness is used as the output. Meteorological and icing data are used to verify the effectiveness of the method. The data are augmented using an interpolation method and then used as the training set for the prediction model based on a support vector machine optimized using the sparrow search algorithm (SSA-SVM). The results indicate that the prediction accuracy of the model with interpolation improved significantly compared with those of conventional backpropagation neural networks and various SVM regression methods without interpolation processing. The SSA-SVM model presents an average absolute percentage error of 4.833%, thus offering a theoretical reference for early warning systems against icing on transmission lines.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 3","pages":"302-311"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11740133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149219390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigation of an Improved Complex Vector Decoupling Control with Synchronous Modulation for the Three-Level PMSM Drive 一种改进的三电平永磁同步同步调制复矢量解耦控制研究
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI: 10.23919/CJEE.2025.000126
Chuang Liu;Tianxiang Kong;Le Sun;Minghao Tong;Jie Wang
{"title":"Investigation of an Improved Complex Vector Decoupling Control with Synchronous Modulation for the Three-Level PMSM Drive","authors":"Chuang Liu;Tianxiang Kong;Le Sun;Minghao Tong;Jie Wang","doi":"10.23919/CJEE.2025.000126","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000126","url":null,"abstract":"When a motor is operates at high speed, the dynamic coupling term of the magnetic field current and torque current has an apparent impact on the control performance. Simultaneously, the current ripple of the motor is large when the carrier ratio is low. In order to solve these problems, a combination of complex vector decoupling and synchronous modulation is adopted, so that the motor obtains a zero point that cancels the pole of the controlled object in the full speed range which can effectively reduce the impact of coupling terms. In addition, the harmonic content of the current and the changes in torque and speed are reduced. Through an analysis of the closed-loop transfer function and electrical cycle of the motor, a simulation model is established to solve the above problems, and the effectiveness of the proposed method is verified via experiments in a three-level PMSM drive.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"188-196"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11603234","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analytical Prediction of Battery Capacity Degradation Trajectories Considering Future Operating Condition Variability 考虑未来运行状态可变性的电池容量退化轨迹分析预测
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2025-10-17 DOI: 10.23919/CJEE.2025.000180
Peng Peng;Ruixin Yang;Man Chen;Peng Wang;Jiahuan Lu;Rui Xiong
{"title":"Analytical Prediction of Battery Capacity Degradation Trajectories Considering Future Operating Condition Variability","authors":"Peng Peng;Ruixin Yang;Man Chen;Peng Wang;Jiahuan Lu;Rui Xiong","doi":"10.23919/CJEE.2025.000180","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000180","url":null,"abstract":"The accurate prediction of battery capacity degradation trajectories is essential for ensuring device safety; however, existing analytical models often overlook the uncertainties of future operating conditions. An analytical approach that incorporates future operating condition variability into capacity degradation trajectory prediction is presented. A dual-exponential model is used to model the nonlinear degradation behaviors, and Box-Cox transformation with variable coefficients is applied to describe the trajectory's dependence on future operating conditions. In addition, particle filtering is employed to dynamically predict the capacity degradation trajectories and confidence intervals under random future conditions. Experimental results show that the proposed approach achieves a median root mean square error below <tex>$0.172 mathrm{A}cdot mathrm{h}$</tex> using only the first 25 cycles, exhibiting a 52.8% improvement in accuracy over existing methods.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"99-108"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11207116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-Driven Cable Terminal State Detection and Fault Diagnosis Methods 数据驱动的电缆终端状态检测与故障诊断方法
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI: 10.23919/CJEE.2026.000004
Kai Liu;Guangbo Nie;Like Fan;Shibo Jiao;Bo Gao;Kui Chen;Dongli Xin;Junbin Mu;Jianmin Fu;Guangning Wu
{"title":"Data-Driven Cable Terminal State Detection and Fault Diagnosis Methods","authors":"Kai Liu;Guangbo Nie;Like Fan;Shibo Jiao;Bo Gao;Kui Chen;Dongli Xin;Junbin Mu;Jianmin Fu;Guangning Wu","doi":"10.23919/CJEE.2026.000004","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000004","url":null,"abstract":"Cable terminals are critical for reliable operation of both traditional and traction power supply systems. During operation, cable terminals are subjected to a complex array of environmental influences including humidity, temperature fluctuations, electric fields, and mechanical stress. This complexity renders cable terminals prone to defects under extreme conditions, potentially leading to severe and catastrophic outcomes. Therefore, the condition monitoring and fault diagnosis of cable terminals are of paramount importance. In this study the most advanced diagnostic technologies for cable terminals are systematically reviewed, focusing on advances in signal processing, machine learning, and deep learning (DL). In addition, diagnostic techniques for cable terminals in scenarios with limited sample sizes are explored. This study identifies the challenges currently faced by fault diagnosis technologies for cable terminals and outlines future research directions. The findings suggest that emerging technologies such as DL, data augmentation, and semi-supervised learning have broad application prospects in the fault diagnosis of cable terminals.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"1-22"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11603283","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Current-Sensor-Less Control with Fast Transient Response for Pulsed Power Load 脉冲功率负载快速瞬态响应的无电流传感器控制
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI: 10.23919/CJEE.2026.000024
Zuoqian Zhang;Yiru Du;Fan Yang;Yan Xing;Hongfei Wu
{"title":"Current-Sensor-Less Control with Fast Transient Response for Pulsed Power Load","authors":"Zuoqian Zhang;Yiru Du;Fan Yang;Yan Xing;Hongfei Wu","doi":"10.23919/CJEE.2026.000024","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000024","url":null,"abstract":"Rapid switching between peak and valley currents of pulse power loads poses a challenge for current tracking in point-of-load converters. Current mode control with a load current reference is a common method for improving the transient response. However, multiple current sensors sampling peak currents are required in this method, potentially increasing the cost and size of the power supplies. Therefore, a current-sensor-less control method is proposed in this article. The load current reference is divided into inductance and capacitance current components. Because the inductor current also serves as the feedback signal, it is cancelled out, leaving only the capacitance current term. By sampling the single capacitance current to represent the entire capacitor array current, a small-range and cost-effective current sensor can be used. Furthermore, the differential of the capacitance voltage is used to obtain the equivalent capacitance current so that the current sensors are eliminated. Experimental results verify the feasibility of the proposed method.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"134-145"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11603238","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Speed-Sensorless Control of Induction Motor Based on a Multi-Weighted Hybrid Model Rotor Flux Observer 基于多加权混合模型转子磁链观测器的感应电机无速度传感器控制
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI: 10.23919/CJEE.2025.000191
Leilei Guo;Zhiyue Chu;Yanfeng Wang;Yanyan Li;Xueyan Jin
{"title":"Speed-Sensorless Control of Induction Motor Based on a Multi-Weighted Hybrid Model Rotor Flux Observer","authors":"Leilei Guo;Zhiyue Chu;Yanfeng Wang;Yanyan Li;Xueyan Jin","doi":"10.23919/CJEE.2025.000191","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000191","url":null,"abstract":"Rotor flux is the key to achieving speed-sensorless control of induction motors (IMs). Although the Gopinath model rotor flux observer has received considerable attention, it has some drawbacks, such as parameter sensitivity in the low- and medium-speed regions. To overcome these drawbacks, an improved rotor flux observer with enhanced parameter robustness is proposed to realize the speed-sensorless control of IMs. In this study, the main drawbacks of the Gopinath observer are analyzed, and the design principles of the characteristic function are deduced for the first time. An improved multi-weighted hybrid model rotor flux observer is then proposed. After analyzing the parameter sensitivity of the proposed observer in detail, a speed-sensorless control method is designed based on this observer and a phase-locked loop. Comparative experimental studies demonstrate the effectiveness of the proposed rotor flux observer and speed-sensorless control method.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"257-269"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11603281","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ripple Power Mitigation in Single-Phase PV Systems: An Innovative Active Power Decoupling Approach Using BESS 单相光伏系统的纹波功率缓解:一种基于BESS的创新有功功率解耦方法
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI: 10.23919/CJEE.2025.000186
Jie Zhang;Yong Li;Jianghu Wan;Zhixiang Yang;Fang Liu
{"title":"Ripple Power Mitigation in Single-Phase PV Systems: An Innovative Active Power Decoupling Approach Using BESS","authors":"Jie Zhang;Yong Li;Jianghu Wan;Zhixiang Yang;Fang Liu","doi":"10.23919/CJEE.2025.000186","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000186","url":null,"abstract":"Existing methods for active power decoupling in a single-phase photovoltaic (PV) system with battery storage (PSBS) often rely on large electrolytic capacitors to handle the inherent power difference at twice the grid frequency. However, the use of such capacitors inevitably reduces device reliability and power density. A novel active power decoupling (APD) method is introduced based on a shared battery energy storage system (BESS) for a single-phase PSBS without additional power switches or passive storage components. A feedforward control strategy is proposed to ensure that the BESS fully absorbs the inherent ripple power, which significantly reduces the capacitance of the DC link while maintaining sufficiently low ripple in the DC bus voltage. Using the BESS for APD and power regulation leads to a notable decrease in the size of the electrolytic capacitors required at the DC link. Simulation results align closely with the theoretical analysis results and are experimentally verified using a l-kW single-phase PSBS prototype. The results demonstrate the successful mitigation of second-order ripple power with the proposed APD method.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"109-119"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11603275","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transient Voltage Stability Assessment of Direct Current Multi-Infeed Receiving-End System Using Binary Table Criterion 基于二值表准则的直流多馈接收端系统暂态电压稳定性评估
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI: 10.23919/CJEE.2025.000189
Xintong Yang;Xiyu Yang;Peisheng Gao;Xinlong Jin;Jing Wang;Changjiang Wang
{"title":"Transient Voltage Stability Assessment of Direct Current Multi-Infeed Receiving-End System Using Binary Table Criterion","authors":"Xintong Yang;Xiyu Yang;Peisheng Gao;Xinlong Jin;Jing Wang;Changjiang Wang","doi":"10.23919/CJEE.2025.000189","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000189","url":null,"abstract":"Establishing a correlation between reactive power voltage dynamic characteristics and transient voltage stability (TVS) is essential for power system analysis. A TVS assessment method founded on a binary table criterion is introduced. Initially, the TVS state is depicted via a critical instability slip. A polynomial fitting approach is then employed to quantify the influence of multiple direct current (DC) control parameters on reactive power. This facilitates the explicit demonstration of how the reactive power dynamic characteristics of line-commutated converter-high-voltage direct current and voltage source converter-high-voltage direct current impact the critical instability slip within a DC multi-infeed receiving-end system. To achieve a quantitative description of the relationship linking DC control parameters to the post-fault TVS state, an index measuring the change rate of the critical instability slip is formulated. This index serves to characterize the TVS of the DC multi-infeed receiving-end system. The dynamic variations of the critical instability slip are quantitatively examined using a binary table, thereby providing a characterization of the TVS margin. By adaptively adjusting the weight based on the slip evolution process following a fault, a more precise and rational depiction of the TVS margin is achieved. Concluding the study, the efficacy and precision of the proposed methodology are validated through simulation analysis conducted on a modified IEEE-68 bus system.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"233-247"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11603270","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of Iron Loss Using a Hybrid Energy-Based Hysteresis Model 基于混合能量的磁滞模型预测铁损耗
IF 4
Chinese Journal of Electrical Engineering Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI: 10.23919/CJEE.2026.000014
Guohai Liu;Yan Zhu;Liang Xu
{"title":"Prediction of Iron Loss Using a Hybrid Energy-Based Hysteresis Model","authors":"Guohai Liu;Yan Zhu;Liang Xu","doi":"10.23919/CJEE.2026.000014","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000014","url":null,"abstract":"An iron loss prediction method that combines the energy-based hysteresis model with the statistical theory of loss and the field separation approach is proposed. The prediction method aims to provide a more physically realistic description of magnetic energy dissipation. First, a static energy-based hysteresis model is established based on thermodynamic principles, drawing inspiration from both the Jiles-Atherton model and the Preisach model. The static model accurately predicts hysteresis loss. Subsequently, a dynamic iron loss model is developed by incorporating statistical loss theory into the static energy-based hysteresis model through the field-separation approach. Eddy current loss and excess loss are taken into account by introducing an additional field strength associated with dynamic iron losses into the total magnetic field strength. Finally, an Epstein frame testing platform is constructed to measure iron loss over a range of frequencies. Comparisons between analytical results and measured results show good consistency. The proposed model serves as a promising approach for iron loss prediction, offering a sound physical foundation and strong scalability.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 2","pages":"222-232"},"PeriodicalIF":4.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11603236","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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