IEEE Open Journal of Industry Applications最新文献_第7页

Direct Adaptive Control of Photovoltaic Boost Converters With Ultra-Low Input Capacitance 超低输入电容光伏升压变换器的直接自适应控制

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2026-01-01 Epub Date: 2026-04-24 DOI: 10.1109/OJIA.2026.3687471

Andrei C. Lima;Charles Schardong;Lucas V. Bellinaso;Rodrigo V. Tambara;Leandro Michels

{"title":"Direct Adaptive Control of Photovoltaic Boost Converters With Ultra-Low Input Capacitance","authors":"Andrei C. Lima;Charles Schardong;Lucas V. Bellinaso;Rodrigo V. Tambara;Leandro Michels","doi":"10.1109/OJIA.2026.3687471","DOIUrl":"https://doi.org/10.1109/OJIA.2026.3687471","url":null,"abstract":"Boost converters are widely used in the voltage step-up stage of photovoltaic (PV) inverters due to their simple construction. These converters must operate in both maximum power point tracking and limited power tracking modes, which requires effective regulation of both PV voltage and inductor current using a dual-loop control structure. Reducing the input capacitance to eliminate electrolytic capacitors and increase lifetime, however, introduces significant parametric variations, making the control design challenging and limiting the dynamic performance of the voltage controller. This work proposes a dual-loop adaptive control strategy, comprising an outer voltage loop with model reference adaptive control and an inner current loop with a fixed-gain PI controller. The proposed method resolves issues observed in previous works in both steady-state and transient operation, enabling fast PV voltage tracking with an ultra-low 2 <inline-formula><tex-math>$mathrm{mu }$</tex-math></inline-formula>F input capacitor. Experimental results demonstrate stable operation in both continuous conduction mode and discontinuous conduction mode modes, with a settling time of 7 ms at a switching frequency of 40 kHz, improved dynamic response, and applicability in PV systems under rapidly changing irradiance conditions.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"547-562"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11494296","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828711","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

A Radially Outward Extended Permanent Magnet Overhang Technique for Electromagnetic Performance Enhancement in Permanent Magnet Machines 提高永磁电机电磁性能的径向向外扩展永磁体悬垂技术

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2026-01-01 Epub Date: 2026-04-17 DOI: 10.1109/OJIA.2026.3684372

Soheil Yousefnejad;Ebrahim Amiri;Parviz Rastgoufard

引用次数: 0

Data-Driven Impedance Identification of Wind Farms Using Kolmogorov-Arnold Networks With Transfer Learning 基于迁移学习的Kolmogorov-Arnold网络的风电场阻抗识别

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2026-01-01 Epub Date: 2026-03-26 DOI: 10.1109/OJIA.2026.3697176

Moetasem Ali;Yasser Abdel-Rady I. Mohamed

{"title":"Data-Driven Impedance Identification of Wind Farms Using Kolmogorov-Arnold Networks With Transfer Learning","authors":"Moetasem Ali;Yasser Abdel-Rady I. Mohamed","doi":"10.1109/OJIA.2026.3697176","DOIUrl":"https://doi.org/10.1109/OJIA.2026.3697176","url":null,"abstract":"Impedance modeling of wind farms (WFs) is essential for grid integration, stability analysis, and operation. However, the WF complexity, the black-box nature imposed by manufacturers’ confidentiality and cybersecurity constraints, and uncertainty in operating points hinder the practicality of analytical impedance models and the efficiency and effectiveness of data-driven impedance models. To tackle these challenges, this article presents an efficient data-driven approach leveraging Kolmogorov–Arnold networks (KANs) with transfer learning for impedance identification of WFs under heterogeneous data availability. This approach addresses the inherent limitations of training from scratch by enabling knowledge extrapolations from a source task with abundant data to target real-world scenarios characterized by data scarcity. The hyperparameters and training of the proposed model are optimized using Optuna and Adam optimizers, respectively. Extensive comparisons with conventional feedforward neural networks (FNNs) and long short-term memory models (LSTMs) consistently demonstrated the superiority of the KAN models, yielding up to 23% and 55% reductions in training and validation losses compared to the FNN and LSTM models, respectively, accompanied by up to 25% and 45% shorter training time and 37% and 63% lower prediction latency, respectively, together with enhanced learning stability and a more efficient, compact network architecture.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"576-596"},"PeriodicalIF":3.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11535403","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148236108","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

An Investigation of Fault Signatures in Online Condition Monitoring Methods for Shaft Misalignment and Mass Unbalance Fault Diagnosis of PMSM Driven Systems 永磁同步电机驱动系统轴向错位与质量不平衡故障在线监测方法中的故障特征研究

IF 3.8

IEEE Open Journal of Industry Applications Pub Date : 2026-01-01 Epub Date: 2026-07-28 DOI: 10.1109/OJIA.2026.3718047

Konstantinos E. Koutrakos;Epameinondas D. Mitronikas;Christof Michenthaler

{"title":"An Investigation of Fault Signatures in Online Condition Monitoring Methods for Shaft Misalignment and Mass Unbalance Fault Diagnosis of PMSM Driven Systems","authors":"Konstantinos E. Koutrakos;Epameinondas D. Mitronikas;Christof Michenthaler","doi":"10.1109/OJIA.2026.3718047","DOIUrl":"https://doi.org/10.1109/OJIA.2026.3718047","url":null,"abstract":"Mechanical faults in permanent magnet synchronous motor (PMSM)-driven systems can introduce disturbances and system interruptions leading to reduced performance and reliability. Effective fault diagnosis is essential for early fault detection and identification, which enables timely maintenance, reduced downtime, and efficient operation of the system. This article presents an investigation of fault signatures in online condition monitoring methods, focusing on mechanical fault diagnosis of PMSM driven systems. Angular shaft misalignment and mass unbalance faults are investigated under two different severity levels. Three axis vibration, acoustic emission, stator currents, axial and radial stray flux, and shaft torque are evaluated for fault detection, severity assessment and fault discrimination. In the first place, a theoretical framework describing the influence of the specific mechanical faults on the mechanical and electromagnetic behavior of the PMSM is established, enabling the identification of characteristic fault-related signatures. An experimental test bench is developed, integrating a PMSM with vibration, current, stray flux, acoustic emission, and torque sensors. Fault signatures are analyzed in both nominal operating condition and variable speed and load levels. Moreover, load and speed transients are investigated. Finally, to extract the most informative sensors, a data driven approach with mutual information, random forest, and Shapley additive explanations is employed. Results from this experimental investigation highlight the tradeoffs between diagnostic performance, practical implementation, and the effectiveness of combining domain knowledge with data-driven approaches for accurate, early, and cost-effective PMSM fault diagnosis.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"949-970"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11627207","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148747038","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

Seamless Hot-Swap of Parallel Inverters Under Nonlinear Loads Using State-Dependent Harmonic Synchronization 基于状态相关谐波同步的非线性负载下并联逆变器无缝热插拔

IF 3.8

IEEE Open Journal of Industry Applications Pub Date : 2026-01-01 Epub Date: 2026-08-13 DOI: 10.1109/OJIA.2026.3723989

Josué Lopes Putzke;Mateus Nava Mezaroba;André Luís Kirsten;Telles Brunelli Lazzarin

{"title":"Seamless Hot-Swap of Parallel Inverters Under Nonlinear Loads Using State-Dependent Harmonic Synchronization","authors":"Josué Lopes Putzke;Mateus Nava Mezaroba;André Luís Kirsten;Telles Brunelli Lazzarin","doi":"10.1109/OJIA.2026.3723989","DOIUrl":"https://doi.org/10.1109/OJIA.2026.3723989","url":null,"abstract":"Modular uninterruptible power supply (UPS) systems and islanded microgrids require reliable plug-and-play (hot-swap) capability to ensure uninterrupted operation in critical applications, such as data centers and telecommunication infrastructures. Conventional presynchronization methods based on second-order generalized integrators effectively align the fundamental voltage components but inherently reject harmonic distortion caused by nonlinear loads. As a result, a voltage mismatch between the incoming inverter and the distorted point of common coupling (PCC) may occur, leading to transient inrush currents during connection, potentially triggering protection mechanisms and compromising system reliability. This article proposes a practical and software-only control strategy for hot-swap operation under nonlinear loading conditions. The method is based on a state-dependent harmonic presynchronization mechanism that temporarily injects the PCC harmonic content into the inverter voltage reference during the synchronization stage. By forcing the incoming inverter to replicate the distorted grid waveform prior to connection, the proposed approach minimizes the instantaneous voltage gradient across the contactor. Immediately after connection, the harmonic injection is disabled, restoring standard harmonic rejection and steady-state power quality. The proposed strategy requires no additional hardware or sensors and can be implemented in existing digital control platforms. Controller-hardware-in-the-loop results at four operating points demonstrate reductions of 42.4%–60.1% in the connecting-inverter current peak. These results confirm the effectiveness and practical applicability of the method for improving hot-swap reliability in modular UPS systems and other critical power applications.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"1010-1021"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11655535","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148836847","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

Robust Current Regulation for Harmonic Current Injected Torque Ripple Suppression in Switched Reluctance Motor Drives 开关磁阻电机驱动中谐波电流注入转矩脉动抑制的鲁棒电流调节

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2025-12-29 DOI: 10.1109/OJIA.2025.3649093

Shou Qiu;Muhammad R. Fabio;Ryo Kokubu;Chenyang Lyu;Kyohei Kiyota

{"title":"Robust Current Regulation for Harmonic Current Injected Torque Ripple Suppression in Switched Reluctance Motor Drives","authors":"Shou Qiu;Muhammad R. Fabio;Ryo Kokubu;Chenyang Lyu;Kyohei Kiyota","doi":"10.1109/OJIA.2025.3649093","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3649093","url":null,"abstract":"Switched reluctance motors (SRMs) are an attractive magnet-free alternative to permanent magnet synchronous motors for applications, such as electric vehicles, but their adoption is hindered by significant torque ripple, which causes both poor drivability and excessive acoustic noise. Existing control strategies often struggle to track the complex, nonsinusoidal currents required for ripple suppression, or they rely on burdensome and inaccurate premeasured motor models. To overcome these limitations, this article proposes an integrated methodology founded on the internal model principle. The approach features two key contributions as follows. 1) A torque ripple suppression technique based on the finding that a specific current harmonic can be manipulated to minimize ripple, this harmonic is decoupled from the average torque, allowing for the independent tuning of ripple and torque. 2) A specialized current controller that achieves robust tracking of the required harmonic waveform without needing an inductance model. The effectiveness of the proposed method is demonstrated through experimental studies.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"90-103"},"PeriodicalIF":3.3,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11316614","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982220","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

A Review of Partial Discharge in High-Frequency and High-Speed WBG-Based Electric Drives 高频高速wbg驱动中局部放电的研究进展

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2025-12-25 DOI: 10.1109/OJIA.2025.3648282

Kangbeen Lee;Hyunwoo Kim;Junhyuk Im;Suaib Al Sufi;Chanyeop Park;Woongkul Lee

{"title":"A Review of Partial Discharge in High-Frequency and High-Speed WBG-Based Electric Drives","authors":"Kangbeen Lee;Hyunwoo Kim;Junhyuk Im;Suaib Al Sufi;Chanyeop Park;Woongkul Lee","doi":"10.1109/OJIA.2025.3648282","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3648282","url":null,"abstract":"Partial discharge (PD) is a localized insulation failure that occurs without completely bridging the electrodes. While PD in sinusoidal excitations has been extensively studied with conventional detection and analysis methods, wide bandgap (WBG)-based electric drives introduce new challenges due to their high-frequency and high-speed switching. These features give rise to nonuniform voltage and charge distributions, along with voltage overshoot and ringing, governed by a geometry of PD object and drive parameters such as switching frequency and slew rate. Moreover, these fast-switching transients complicate PD detection due to electromagnetic interference (EMI). This article reviews PD characteristics in WBG-based drives, highlighting the challenges in WBG-based drives. The review explores opportunities to improve PD location prediction through voltage distribution analysis based on the impedance of PD objects, as well as to optimize insulation design by considering charge distribution and methods for reducing the electric field across the insulation. Furthermore, it discusses methods to improve the signal-to-noise ratio of PD detection, including a reduction of common-mode voltage and current with active EMI filters, thereby enhancing detection reliability in WBG-based electric drives.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"79-89"},"PeriodicalIF":3.3,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11315872","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982251","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

Profit Maximization of Distribution Network Stakeholders Facilitating EV Demands With Adaptive Demand Side Management Policies 适应性需求侧管理政策下配电网利益相关者利润最大化促进电动汽车需求

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2025-12-24 DOI: 10.1109/OJIA.2025.3647633

Manoj Saha;Siddhartha Sankar Thakur;Aniruddha Bhattacharya;Bishwajit Dey

{"title":"Profit Maximization of Distribution Network Stakeholders Facilitating EV Demands With Adaptive Demand Side Management Policies","authors":"Manoj Saha;Siddhartha Sankar Thakur;Aniruddha Bhattacharya;Bishwajit Dey","doi":"10.1109/OJIA.2025.3647633","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3647633","url":null,"abstract":"The rapid integration of electric vehicle (EV) infrastructure, particularly EV charging stations (EVCS) and battery swapping stations (BSS), has introduced new challenges to modern distribution networks due to dynamic and uncertain load profiles. This article proposes a comprehensive profit maximization framework aimed at improving economic outcomes for three key stakeholder groups: EVCS operators, BSS operators, and distribution network consumers. The model integrates demand-side management strategies such as load shifting and load curtailment to mitigate undesirable load fluctuations while enhancing operational efficiency. A hybrid metaheuristic optimization technique combining differential evolution with prairie dog optimization is used to solve the multientity coordination problem. Extensive simulation studies are carried out on a 118-bus radial distribution network under six different case studies. Results indicate that simultaneous profit maximization across all stakeholders yields superior economic performance compared to individual optimization. The proposed framework achieves up to 18.7% higher total profit. Specifically, EVCS operators, BSS operators, and demand-side participants benefit from profit improvements of 21.9%, 24.2%, 49.9%, and 2.5%, respectively, highlighting the economic viability of the proposed coordinated approach across all six operational cases.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"65-78"},"PeriodicalIF":3.3,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11314678","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982245","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

Multi-LMS Harmonic Compensation for Real-Time Detection of Interturn Short-Circuit Fault in Six-Phase Induction Machines 基于多lms谐波补偿的六相感应电机匝间短路故障实时检测

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2025-12-23 DOI: 10.1109/OJIA.2025.3647228

Hamdihun A. Dawed;Khaled Ali Al Jaafari;Abdul R. Beig;Zeyar Aung

{"title":"Multi-LMS Harmonic Compensation for Real-Time Detection of Interturn Short-Circuit Fault in Six-Phase Induction Machines","authors":"Hamdihun A. Dawed;Khaled Ali Al Jaafari;Abdul R. Beig;Zeyar Aung","doi":"10.1109/OJIA.2025.3647228","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3647228","url":null,"abstract":"Multiphase machines are gaining traction in electric vehicle propulsion systems due to their inherent fault tolerance and superior torque performance. Nevertheless, due to insulation degradation, manufacturing defects, or thermal and mechanical stresses, interturn short-circuit (ITSC) faults can occur. If undetected, this will lead to performance degradation and potential failure, compromising drive reliability. Existing detection methods often rely on low-pass filtering, spectral analysis, or complex feature extraction, increasing computational burden and reducing real-time applicability. This article proposes an adaptive least-mean-square-based approach that actively suppresses unwanted harmonic currents while using the fundamental harmonic compensation voltage as a direct ITSC fault severity indicator. The proposed method improves real-time fault detection and severity assessment without requiring additional hardware, filtering, or spectral analysis. Experimental validation confirms its computational efficiency and suitability for real-time ITSC fault monitoring.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"36-47"},"PeriodicalIF":3.3,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11313478","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929492","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

Hybrid SOGI-FLL-LUT Sensorless PMSM Drive With Back-EMF Distortion Elimination 具有反电动势失真消除的混合无传感器SOGI-FLL-LUT永磁同步电机驱动

IF 3.3

IEEE Open Journal of Industry Applications Pub Date : 2025-12-23 DOI: 10.1109/OJIA.2025.3647021

Pengwei Li;Zhe Zhang;Ali Bazzi

{"title":"Hybrid SOGI-FLL-LUT Sensorless PMSM Drive With Back-EMF Distortion Elimination","authors":"Pengwei Li;Zhe Zhang;Ali Bazzi","doi":"10.1109/OJIA.2025.3647021","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3647021","url":null,"abstract":"There is growing demand for robust sensorless control of permanent magnet synchronous motors (PMSMs), but conventional methods using phase locked loops (PLLs) are computationally intensive and offer limited back-Electromotive Force (back-EMF) distortion compensation across wide speed ranges. To address this issue, this article focuses on an optimized second-order general integrator (SOGI) with frequency lock loop (FLL) and look-up table (LUT) to observe back-EMF for sensorless control of PMSMs. The observer is based on a reduced-order back-EMF model that utilizes the voltage equation in <italic>α</i>-axis and relies on a single SOGI to estimate the fundamental back-EMF component in both <italic>α-</i> and <italic>β-</i>axes. This article further derives the SOGI-FLL observer model to guide parameter design and implementation and evaluates robustness through sensitivity analysis. Harmonic distortion in back-EMF is addressed using a time-domain numerical LUT. The observer is implemented in discrete time on a dSPACE PMSM drive platform. Simulations and experiments under various conditions confirm its effectiveness over two conventional sensorless algorithms.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"104-116"},"PeriodicalIF":3.3,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11313479","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026332","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