IEEJ Transactions on Electrical and Electronic Engineering最新文献_第10页

Proposal of an Image Processing Method for Enhancing Robustness in Stress Coping Style Classification Using TFI 一种增强TFI应力应对方式分类鲁棒性的图像处理方法的提出

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-29 DOI: 10.1002/tee.70167

Kosuke Kuzuma, Tomoro Okajima, Kent Nagumo, Akio Nozawa

引用次数: 0

Data-Model-Driven Predictive Control Using Dual Event-Triggered Mechanism for Modular Multilevel Converters 基于双事件触发机制的模块化多电平变换器数据模型驱动预测控制

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-27 DOI: 10.1002/tee.70178

Maoxin Wang, Jinbin Zhao, Chao Pan, Ruanming Huang

{"title":"Data-Model-Driven Predictive Control Using Dual Event-Triggered Mechanism for Modular Multilevel Converters","authors":"Maoxin Wang, Jinbin Zhao, Chao Pan, Ruanming Huang","doi":"10.1002/tee.70178","DOIUrl":"https://doi.org/10.1002/tee.70178","url":null,"abstract":"This study proposes a dual event-triggered data-model hybrid-driven predictive control method to tackle model mismatch and high switching frequency (SF) challenges in model predictive control (MPC) strategies for modular multilevel converters (MMCs). First, a data-driven model is constructed using dynamic linearization (DL) techniques and updated online to compensate for system uncertainties via adaptive estimation methods. This model is then combined with the arm current model to form a hybrid-driven predictive architecture, reducing prediction errors caused by model mismatch. Next, a dual event-triggered control framework is developed by merging delay-compensated predictive values with error convergence criteria. This framework optimizes the control law to reduce the triggering frequency and maintain the controlled variables within acceptable error bounds, thereby lowering the SF. Additionally, the convergence of the tracking error under the proposed method is proven using Lyapunov stability theory. Finally, simulations and hardware-in-the-loop (HIL) experiments were conducted to validate the effectiveness of the proposed strategy. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"733-744"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683944","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

Proposal for a Method to Measure Tongue-Hard Palate Contact Force during Speech for Clinical Use 一种用于临床言语中舌-硬腭接触力测量方法的提出

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-07 DOI: 10.1002/tee.70182

Eri Nishi, Michihide Asuka

{"title":"Proposal for a Method to Measure Tongue-Hard Palate Contact Force during Speech for Clinical Use","authors":"Eri Nishi, Michihide Asuka","doi":"10.1002/tee.70182","DOIUrl":"https://doi.org/10.1002/tee.70182","url":null,"abstract":"This study aims to propose a practical method for measuring tongue contact force in clinical practice. To develop a novel measurement device, we analyzed nine speech tones at 23 locations on the hard palate, identifying four key locations where all speech tones could be detected. These locations were selected as the sensor points. Four laminate-covered force sensors were integrated into a sheet-like configuration and affixed directly to the hard palate using denture stabilizers. The device successfully differentiated tongue contact forces among three subjects during speech production. The center position of the tongue-hard palate contact force was calculated, revealing distinct tongue movement trajectories for the same sound across different subjects. These findings highlight inter-individual variability in tongue dynamics. The proposed method enables simple and effective evaluation of tongue force, offering potential applications in the assessment of speech disorders and the diagnosis of tongue weakness. Its ease of use and ability to capture subtle differences in tongue function suggest significant utility in clinical and therapeutic settings. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"686-692"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683383","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

Online Prediction of Operating Temperature for Permanent Magnet Motor Used in EVs Based on Parameter Identification 基于参数辨识的电动汽车用永磁电机工作温度在线预测

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-06 DOI: 10.1002/tee.70169

Wang Yankun, Wang Xiaoyuan, Gao Peng

{"title":"Online Prediction of Operating Temperature for Permanent Magnet Motor Used in EVs Based on Parameter Identification","authors":"Wang Yankun, Wang Xiaoyuan, Gao Peng","doi":"10.1002/tee.70169","DOIUrl":"https://doi.org/10.1002/tee.70169","url":null,"abstract":"The online prediction of operating temperature in permanent magnet motor (PM motor) is crucial for preventing motor damage due to excessive heat and minimizing the risk of irreversible demagnetization of the permanent magnet (PM). In this paper, an online temperature prediction method for PM motor used in electric vehicles (EVs) has been developed in relatively high-speed operating conditions, which is based on parameter identification. First of all, utilizing the model reference adaptive system (MRAS), the feedback gain matrix and adaptive law are formulated. Preliminary designs for stator winding resistance recognizer and PM flux linkage recognizer are developed. Then, to mitigate the impact of changing operating conditions on the convergence performance of parameter recognizer, the proportional-integral (PI) gains are adjusted. The parameter estimation accuracy of the parameter recognizer is guaranteed, which lays a good foundation for realizing the accurate estimation of stator-rotor operation temperature. Finally, a stator-rotor temperature observer is constructed, leveraging the approximately linear relationship between the above two parameters and temperature. Simulation results demonstrate that the proposed method is relatively effective at relatively high speeds. Under relatively high-speed operating conditions, the stator temperature estimation error is within 2°C, while the absolute value of the rotor temperature estimation error remains within 5°C, confirming the accuracy and effectiveness of the proposed method. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"765-774"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683465","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

Effect of Electric Field Distribution on Branching Characteristics of Streamers in Transformer Oil 电场分布对变压器油中拖缆分支特性的影响

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-30 DOI: 10.1002/tee.70172

Tao Zhu, Yangze Lu, Wei Shan, Li Chen, Yu Shen, Bo Jiang, Rui Liu

{"title":"Effect of Electric Field Distribution on Branching Characteristics of Streamers in Transformer Oil","authors":"Tao Zhu, Yangze Lu, Wei Shan, Li Chen, Yu Shen, Bo Jiang, Rui Liu","doi":"10.1002/tee.70172","DOIUrl":"https://doi.org/10.1002/tee.70172","url":null,"abstract":"Electrical insulation and discharge phenomena under high electric fields pose critical limitations on the overall performance and reliability of oil-immersed transformers. Under high electric fields, transformer oil is prone to streamer discharge, and the changes in electric field distribution caused by streamer branching directly influence the streamer development process and breakdown voltage of the oil. However, due to limitations in observation equipment and recording systems, the electric field distribution changes induced by streamer branching during discharge are challenging to measure directly. To address this, a two-dimensional needle-plate discharge model in transformer oil was established. Based on experimentally obtained streamer discharge images, a discharge fractal model was constructed frame by frame, and the fractal dimension was calculated using the box-counting method to validate the model's accuracy. Subsequently, the influence of electric field distribution on streamer branching development was analyzed through electrostatic field simulations, and a probability function describing the relationship between electric field strength and branching development was obtained via statistical analysis. This study is significant for improving traditional simulation models, providing a more reasonable simulation of discharge fractal phenomena under actual conditions, and contributing to a deeper understanding of transformer oil discharge mechanisms. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"632-638"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147684203","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

Probabilistic Assessment Method of Time-Varying Sub–/Super-Synchronous Oscillation Risk for On-Grid Wind Power Systems 并网风电系统时变亚/超同步振荡风险的概率评估方法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-06 DOI: 10.1002/tee.70173

Zhaohui Liu, Wei Chen, Jie Lin, Zhanhong Wei

{"title":"Probabilistic Assessment Method of Time-Varying Sub–/Super-Synchronous Oscillation Risk for On-Grid Wind Power Systems","authors":"Zhaohui Liu, Wei Chen, Jie Lin, Zhanhong Wei","doi":"10.1002/tee.70173","DOIUrl":"https://doi.org/10.1002/tee.70173","url":null,"abstract":"As the proportion of new energy integrated into the grid rises annually, it is of great significance to quickly and accurately evaluate the risk of complex characteristic sub–/super-synchronous oscillations. Therefore, a probabilistic assessment method of time-varying oscillation risk for the on-grid system of wind power is proposed. First, based on the measured wind speed data, a credible mathematical model of the system's random fluctuation is established. The total least squares estimation of signal parameters via rotational invariance techniques is used in combination with the singular value difference ratio method to realize the automatic determination of the model order, and then the oscillation modal parameters of the system are accurately identified from the real-time measurement signal. Second, based on the time-variables nonlinear approximation method of variable forgetting factor recursive least-squares (VFFRLS), the time-varying forgetting factor is introduced with the change of uncertainty factors, which overcomes the modeling error and reduces the amount of calculation. Based on the probability distribution of uncertainty factors, the Latin hypercube sampling technique is used to stratify the sampling in the random variable space and fuse the risk matrix to realize the probabilistic assessment. Finally, the accuracy and reliability of the proposed method are verified by arithmetic examples. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"667-676"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683487","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

Device Movement Detection Using WiFi Channel State Information 使用WiFi通道状态信息进行设备运动检测

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-28 DOI: 10.1002/tee.70166

Yoshiaki Taniguchi, Yuya Izumoto

引用次数: 0

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model 基于层次概率模型的无监督工作行为模式提取

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-04 DOI: 10.1002/tee.70181

Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa

{"title":"Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model","authors":"Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa","doi":"10.1002/tee.70181","DOIUrl":"https://doi.org/10.1002/tee.70181","url":null,"abstract":"In this study, we address the challenge of analyzing worker behaviors in high-mix, low-volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern extraction using the Gaussian process-hidden semi-Markov model and hidden semi-Markov model. Unlike existing studies that focus on clustering human actions, our method segments complex motion data into meaningful action units and tasks, enabling a deeper understanding of worker behaviors. This two-layer probabilistic generative model performs segmentation without pretraining on labeled datasets, which is advantageous in dynamic industrial contexts. Experiments using six-dimensional time-series wrist movement time-series data from three workers engaged in assembly tasks show that our approach significantly improves segmentation accuracy compared with baseline methods. The results demonstrate its effectiveness in identifying distinct behavior patterns, highlighting the potential of our method to advance machine learning-based work analysis in industrial environments. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"693-703"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.70181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Jiles-Atherton-Based Core Loss Modeling for Transformers under Reverse Power Flow from Distributed PV Systems 基于jiles - atherton的分布式光伏系统反向潮流下变压器铁心损耗建模

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-10-09 DOI: 10.1002/tee.70175

Zhiwei Chen, Zhaokun Jin, Qinwei Chen, Xiangdong Yu, Jie Wu, Nianwen Xiang

{"title":"Jiles-Atherton-Based Core Loss Modeling for Transformers under Reverse Power Flow from Distributed PV Systems","authors":"Zhiwei Chen, Zhaokun Jin, Qinwei Chen, Xiangdong Yu, Jie Wu, Nianwen Xiang","doi":"10.1002/tee.70175","DOIUrl":"https://doi.org/10.1002/tee.70175","url":null,"abstract":"In response to the problem that the power flow reverse caused by large-scale distributed photovoltaic(PV) grid connection leads to the voltage increase of the distribution network, which in turn significantly affects the accuracy of transformer core loss calculation, this paper reveals the mechanism of power flow reverse causing the voltage increase on the secondary side of the transformer, and points out the serious failure of the traditional core loss model under this working condition. To solve this problem, an core loss correction model based on Jiles-Atherton (J-A) hysteresis theory was proposed innovatively. This model quantifies the nonlinear magnetization process of the core in the voltage rise and approaching saturation through the J-A equation, and decomposes the dynamic core loss into hysteresis loss, eddy current loss and residual loss. The model was verified by using Maxwell-Simplorer field-circuit collaborative simulation and a small capacity transformer experimental platform. The model provides a reliable theoretical basis and technical support for the accurate evaluation of transformer losses, the optimization of power grid economic operation, and the formulation of network loss allocation strategies when a high proportion of new energy is connected to the power grid. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"677-685"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683572","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 Random Forest-Based Approach for Yield Estimation in VLSI Circuit Design VLSI电路设计中基于随机森林的成品率估计方法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2026-04-06 Epub Date: 2025-09-28 DOI: 10.1002/tee.70177

Nguyen Cao Qui, Nguyen Thi Tram, Tran Nhut Khai Hoan

{"title":"A Random Forest-Based Approach for Yield Estimation in VLSI Circuit Design","authors":"Nguyen Cao Qui, Nguyen Thi Tram, Tran Nhut Khai Hoan","doi":"10.1002/tee.70177","DOIUrl":"https://doi.org/10.1002/tee.70177","url":null,"abstract":"Yield estimation in Very Large Scale Integration (VLSI) circuit design is a critical phase of ensuring the reliability and profitability of semiconductor manufacturing. Conventionally, yield estimation is achieved through Monte Carlo (MC) simulations, a computational method that relies on repeated random sampling and simulation to obtain numerical results. A major drawback of this method is its high computational cost, often requiring a large number of simulations for accurate results. This work presents a novel approach for estimating circuit yield by utilizing the capabilities of random forest algorithms, a powerful machine learning technique, to provide a more accurate and efficient solution. By significantly reducing the computational burden associated with simulating numerous circuit samples, this approach offers a viable alternative to the traditional MC method. Experimental results demonstrate that the proposed approach can significantly accelerate yield estimation while incurring a reasonable loss in accuracy. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 5","pages":"728-732"},"PeriodicalIF":1.1,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147683967","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